{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "hide_input": true,
    "id": "16BEDEF83DF24B65ABB0E52615CECDCB",
    "jupyter": {},
    "notebookId": "6475f15b87e80c34bf03eccf",
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from collections import Counter\n",
    "from pyecharts import options as opts\n",
    "from pyecharts.charts import *\n",
    "from pyecharts.commons.utils import JsCode\n",
    "from pyecharts.globals import ThemeType\n",
    "from pyecharts.components import Table\n",
    "from pyecharts.options import ComponentTitleOpts\n",
    "import datetime"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "6BF2E16ADC4C40689C8615CDD78D4C75",
    "jupyter": {},
    "mdEditEnable": false,
    "notebookId": "6475f15b87e80c34bf03eccf",
    "runtime": {
     "execution_status": null,
     "status": "default"
    },
    "scrolled": false,
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "## 票房榜数据概览"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "D672A6DA22044421924584DCEFE45A4F",
    "jupyter": {},
    "notebookId": "6475f15b87e80c34bf03eccf",
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>EntMovieID</th>\n",
       "      <th>DBOMovieID</th>\n",
       "      <th>EFMTMovieID</th>\n",
       "      <th>电影</th>\n",
       "      <th>英文电影名</th>\n",
       "      <th>导演</th>\n",
       "      <th>主演</th>\n",
       "      <th>GenreMainID</th>\n",
       "      <th>主要类型</th>\n",
       "      <th>作品类型</th>\n",
       "      <th>...</th>\n",
       "      <th>累计场次</th>\n",
       "      <th>累计人次</th>\n",
       "      <th>第一天观看人次</th>\n",
       "      <th>首映票房</th>\n",
       "      <th>首周票房</th>\n",
       "      <th>首周末票房</th>\n",
       "      <th>猫眼想看人数</th>\n",
       "      <th>淘票票想看人数</th>\n",
       "      <th>猫眼评分</th>\n",
       "      <th>豆瓣评分</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>709649</td>\n",
       "      <td>39085</td>\n",
       "      <td>40910</td>\n",
       "      <td>长津湖之水门桥</td>\n",
       "      <td>The Battle At Lake Changjin II</td>\n",
       "      <td>陈凯歌/徐克/林超贤</td>\n",
       "      <td>吴京/易烊千玺/朱亚文/李晨/韩东君/胡军</td>\n",
       "      <td>27</td>\n",
       "      <td>战争</td>\n",
       "      <td>战争/历史/主旋律</td>\n",
       "      <td>...</td>\n",
       "      <td>1161376</td>\n",
       "      <td>52062562</td>\n",
       "      <td>11142376</td>\n",
       "      <td>6.384868e+08</td>\n",
       "      <td>2.530065e+09</td>\n",
       "      <td>9.807439e+08</td>\n",
       "      <td>1155811</td>\n",
       "      <td>1144344</td>\n",
       "      <td>9.6</td>\n",
       "      <td>7.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   EntMovieID  DBOMovieID  EFMTMovieID       电影  \\\n",
       "0      709649       39085        40910  长津湖之水门桥   \n",
       "\n",
       "                            英文电影名          导演                     主演  \\\n",
       "0  The Battle At Lake Changjin II  陈凯歌/徐克/林超贤  吴京/易烊千玺/朱亚文/李晨/韩东君/胡军   \n",
       "\n",
       "   GenreMainID 主要类型       作品类型  ...     累计场次      累计人次   第一天观看人次  \\\n",
       "0           27   战争  战争/历史/主旋律  ...  1161376  52062562  11142376   \n",
       "\n",
       "           首映票房          首周票房         首周末票房   猫眼想看人数  淘票票想看人数  猫眼评分  豆瓣评分  \n",
       "0  6.384868e+08  2.530065e+09  9.807439e+08  1155811  1144344   9.6   7.2  \n",
       "\n",
       "[1 rows x 31 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_haed = pd.read_excel(r\"./春节档-电影票房表现概览.xlsx\")\n",
    "data_haed.head(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "E209694DA8524ECE875E672FFAA8D6A3",
    "jupyter": {},
    "mdEditEnable": false,
    "notebookId": "6475f15b87e80c34bf03eccf",
    "runtime": {
     "execution_status": null,
     "status": "default"
    },
    "scrolled": false,
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "## 电影票房数据字段处理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "E4550A48992749808E37B979BB2F4F5E",
    "jupyter": {},
    "notebookId": "6475f15b87e80c34bf03eccf",
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "data_haed[\"首映票房\"] = data_haed[\"首映票房\"].apply(lambda x: round(x/100000000, 2))\n",
    "data_haed[\"首周票房\"] = data_haed[\"首周票房\"].apply(lambda x: round(x/100000000, 2))\n",
    "data_haed[\"首周末票房\"] = data_haed[\"首周末票房\"].apply(lambda x: round(x/100000000, 2))\n",
    "\n",
    "data_haed = data_haed.rename(columns={\"首映票房\": \"首映票房/亿\", \"首周票房\": \"首周票房/亿\", \"首周末票房\": \"首周末票房/亿\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "id": "DFD042D340D8454F856166F6964F6ECF",
    "jupyter": {},
    "notebookId": "6475f15b87e80c34bf03eccf",
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 10 entries, 0 to 9\n",
      "Data columns (total 31 columns):\n",
      " #   Column       Non-Null Count  Dtype  \n",
      "---  ------       --------------  -----  \n",
      " 0   EntMovieID   10 non-null     int64  \n",
      " 1   DBOMovieID   10 non-null     int64  \n",
      " 2   EFMTMovieID  10 non-null     int64  \n",
      " 3   电影           10 non-null     object \n",
      " 4   英文电影名        10 non-null     object \n",
      " 5   导演           10 non-null     object \n",
      " 6   主演           10 non-null     object \n",
      " 7   GenreMainID  10 non-null     int64  \n",
      " 8   主要类型         10 non-null     object \n",
      " 9   作品类型         10 non-null     object \n",
      " 10  地区           10 non-null     object \n",
      " 11  电影时长         7 non-null      object \n",
      " 12  电影版本         10 non-null     object \n",
      " 13  点映日期         10 non-null     object \n",
      " 14  最晚结束日期       10 non-null     object \n",
      " 15  最新上映天数       10 non-null     int64  \n",
      " 16  正式上映日期       10 non-null     object \n",
      " 17  数据截止日期       10 non-null     object \n",
      " 18  点映天数         10 non-null     int64  \n",
      " 19  点映票房         10 non-null     float64\n",
      " 20  累计票房         10 non-null     float64\n",
      " 21  累计场次         10 non-null     int64  \n",
      " 22  累计人次         10 non-null     int64  \n",
      " 23  第一天观看人次      10 non-null     int64  \n",
      " 24  首映票房/亿       10 non-null     float64\n",
      " 25  首周票房/亿       10 non-null     float64\n",
      " 26  首周末票房/亿      10 non-null     float64\n",
      " 27  猫眼想看人数       10 non-null     int64  \n",
      " 28  淘票票想看人数      10 non-null     int64  \n",
      " 29  猫眼评分         10 non-null     float64\n",
      " 30  豆瓣评分         9 non-null      float64\n",
      "dtypes: float64(7), int64(11), object(13)\n",
      "memory usage: 2.6+ KB\n"
     ]
    }
   ],
   "source": [
    "data_haed.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "820B045586F04F47B9484609F0A70CDC",
    "jupyter": {},
    "notebookId": "6475f15b87e80c34bf03eccf",
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "data_haed = data_haed.drop(labels=[\"EntMovieID\",\"DBOMovieID\",\"EFMTMovieID\",\"GenreMainID\"],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "id": "441AD8C4E20F4DC78372CE10AB25FFA0",
    "jupyter": {},
    "notebookId": "6475f15b87e80c34bf03eccf",
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['电影', '英文电影名', '导演', '主演', '主要类型', '作品类型', '地区', '电影时长', '电影版本', '点映日期', '最晚结束日期', '最新上映天数', '正式上映日期', '数据截止日期', '点映天数', '点映票房', '累计票房', '累计场次', '累计人次', '第一天观看人次', '首映票房/亿', '首周票房/亿', '首周末票房/亿', '猫眼想看人数', '淘票票想看人数', '猫眼评分', '豆瓣评分']\n"
     ]
    }
   ],
   "source": [
    "colums = list(data_haed)\n",
    "print(colums)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "id": "0591CD54EEE24A34BAD435DEF3202211",
    "jupyter": {},
    "notebookId": "6475f15b87e80c34bf03eccf",
    "scrolled": true,
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "                border-collapse: collapse;\n",
       "                max-width: 100%;\n",
       "                white-space: nowrap;\n",
       "                word-break: keep-all;\n",
       "            }\n",
       "\n",
       "            .fl-table th {\n",
       "                text-align: left;\n",
       "                font-size: 20px;\n",
       "            }\n",
       "\n",
       "            .fl-table tr {\n",
       "                display: table-row;\n",
       "                vertical-align: inherit;\n",
       "                border-color: inherit;\n",
       "            }\n",
       "\n",
       "            .fl-table tr:hover td {\n",
       "                background: #00d1b2;\n",
       "                color: #F8F8F8;\n",
       "            }\n",
       "\n",
       "            .fl-table td, .fl-table th {\n",
       "                border-style: none;\n",
       "                border-top: 1px solid #dbdbdb;\n",
       "                border-left: 1px solid #dbdbdb;\n",
       "                border-bottom: 3px solid #dbdbdb;\n",
       "                border-right: 1px solid #dbdbdb;\n",
       "                padding: .5em .55em;\n",
       "                font-size: 15px;\n",
       "            }\n",
       "\n",
       "            .fl-table td {\n",
       "                border-style: none;\n",
       "                font-size: 15px;\n",
       "                vertical-align: center;\n",
       "                border-bottom: 1px solid #dbdbdb;\n",
       "                border-left: 1px solid #dbdbdb;\n",
       "                border-right: 1px solid #dbdbdb;\n",
       "                height: 30px;\n",
       "            }\n",
       "\n",
       "            .fl-table tr:nth-child(even) {\n",
       "                background: #F8F8F8;\n",
       "            }\n",
       "        </style>\n",
       "        <div id=\"7dd4458412324178a1cd14ae8b9cf654\" class=\"chart-container\" style=\"\">\n",
       "            <p class=\"title\" style=\"font-size: 18px; font-weight:bold;\" > 春节档-电影详情数据概览</p>\n",
       "            <p class=\"subtitle\" style=\"font-size: 12px;\" > （上下左右移动表格）</p>\n",
       "            <table class=\"fl-table\" style=\"margin: 0 auto\">\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>电影</th>\n",
       "            <th>英文电影名</th>\n",
       "            <th>导演</th>\n",
       "            <th>主演</th>\n",
       "            <th>主要类型</th>\n",
       "            <th>作品类型</th>\n",
       "            <th>地区</th>\n",
       "            <th>电影时长</th>\n",
       "            <th>电影版本</th>\n",
       "            <th>点映日期</th>\n",
       "            <th>最晚结束日期</th>\n",
       "            <th>最新上映天数</th>\n",
       "            <th>正式上映日期</th>\n",
       "            <th>数据截止日期</th>\n",
       "            <th>点映天数</th>\n",
       "            <th>点映票房</th>\n",
       "            <th>累计票房</th>\n",
       "            <th>累计场次</th>\n",
       "            <th>累计人次</th>\n",
       "            <th>第一天观看人次</th>\n",
       "            <th>首映票房/亿</th>\n",
       "            <th>首周票房/亿</th>\n",
       "            <th>首周末票房/亿</th>\n",
       "            <th>猫眼想看人数</th>\n",
       "            <th>淘票票想看人数</th>\n",
       "            <th>猫眼评分</th>\n",
       "            <th>豆瓣评分</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>长津湖之水门桥</td>\n",
       "            <td>The Battle At Lake Changjin II</td>\n",
       "            <td>陈凯歌/徐克/林超贤</td>\n",
       "            <td>吴京/易烊千玺/朱亚文/李晨/韩东君/胡军</td>\n",
       "            <td>战争</td>\n",
       "            <td>战争/历史/主旋律</td>\n",
       "            <td>中国</td>\n",
       "            <td>149min</td>\n",
       "            <td>2D/IMAX/中国巨幕</td>\n",
       "            <td>2022-01-21</td>\n",
       "            <td>2022-03-02</td>\n",
       "            <td>8</td>\n",
       "            <td>2022-02-01</td>\n",
       "            <td>2022-03-02</td>\n",
       "            <td>4</td>\n",
       "            <td>3600.0</td>\n",
       "            <td>2766429646.52</td>\n",
       "            <td>1161376</td>\n",
       "            <td>52062562</td>\n",
       "            <td>11142376</td>\n",
       "            <td>6.38</td>\n",
       "            <td>25.3</td>\n",
       "            <td>9.81</td>\n",
       "            <td>1155811</td>\n",
       "            <td>1144344</td>\n",
       "            <td>9.6</td>\n",
       "            <td>7.2</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>这个杀手不太冷静</td>\n",
       "            <td>Too Cool To Kill</td>\n",
       "            <td>邢文雄</td>\n",
       "            <td>马丽/魏翔/陈明昊/周大勇/黄才伦</td>\n",
       "            <td>喜剧</td>\n",
       "            <td>喜剧</td>\n",
       "            <td>中国</td>\n",
       "            <td>109min</td>\n",
       "            <td>2D/中国巨幕</td>\n",
       "            <td>2022-01-21</td>\n",
       "            <td>2022-02-28</td>\n",
       "            <td>8</td>\n",
       "            <td>2022-02-01</td>\n",
       "            <td>2022-03-02</td>\n",
       "            <td>9</td>\n",
       "            <td>78924.0</td>\n",
       "            <td>1564847560.27</td>\n",
       "            <td>839303</td>\n",
       "            <td>30117519</td>\n",
       "            <td>3820324</td>\n",
       "            <td>2.13</td>\n",
       "            <td>13.89</td>\n",
       "            <td>7.12</td>\n",
       "            <td>555706</td>\n",
       "            <td>228548</td>\n",
       "            <td>9.2</td>\n",
       "            <td>6.6</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>奇迹·笨小孩</td>\n",
       "            <td>Nice View</td>\n",
       "            <td>文牧野</td>\n",
       "            <td>易烊千玺/田雨/王传君/章宇/杨新鸣</td>\n",
       "            <td>剧情</td>\n",
       "            <td>剧情</td>\n",
       "            <td>中国</td>\n",
       "            <td>nan</td>\n",
       "            <td>2D/IMAX/中国巨幕</td>\n",
       "            <td>2022-01-22</td>\n",
       "            <td>2022-02-28</td>\n",
       "            <td>8</td>\n",
       "            <td>2022-02-01</td>\n",
       "            <td>2022-03-02</td>\n",
       "            <td>4</td>\n",
       "            <td>432.0</td>\n",
       "            <td>765739575.37</td>\n",
       "            <td>585002</td>\n",
       "            <td>14887903</td>\n",
       "            <td>3334185</td>\n",
       "            <td>1.82</td>\n",
       "            <td>6.68</td>\n",
       "            <td>2.92</td>\n",
       "            <td>686040</td>\n",
       "            <td>879046</td>\n",
       "            <td>9.5</td>\n",
       "            <td>7.4</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>狙击手</td>\n",
       "            <td>Sniper</td>\n",
       "            <td>张艺谋/张末</td>\n",
       "            <td>陈永胜/章宇/刘奕铁/黄炎/王梓屹</td>\n",
       "            <td>剧情</td>\n",
       "            <td>剧情/动作/战争/主旋律</td>\n",
       "            <td>中国</td>\n",
       "            <td>nan</td>\n",
       "            <td>2D/中国巨幕</td>\n",
       "            <td>2022-01-21</td>\n",
       "            <td>2022-02-28</td>\n",
       "            <td>8</td>\n",
       "            <td>2022-02-01</td>\n",
       "            <td>2022-03-02</td>\n",
       "            <td>7</td>\n",
       "            <td>48550.0</td>\n",
       "            <td>310190516.1</td>\n",
       "            <td>331885</td>\n",
       "            <td>6100905</td>\n",
       "            <td>901982</td>\n",
       "            <td>0.48</td>\n",
       "            <td>2.63</td>\n",
       "            <td>1.45</td>\n",
       "            <td>156124</td>\n",
       "            <td>242881</td>\n",
       "            <td>9.5</td>\n",
       "            <td>7.7</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>熊出没·重返地球</td>\n",
       "            <td>Boonie Bears：Back To Earth</td>\n",
       "            <td>林汇达/彭寅/张秉君/谭笑</td>\n",
       "            <td>李婉瑶/程子洋</td>\n",
       "            <td>动画</td>\n",
       "            <td>动画/喜剧/科幻</td>\n",
       "            <td>中国</td>\n",
       "            <td>95min</td>\n",
       "            <td>2D/3D</td>\n",
       "            <td>2022-01-15</td>\n",
       "            <td>2022-02-20</td>\n",
       "            <td>8</td>\n",
       "            <td>2022-02-01</td>\n",
       "            <td>2022-03-04</td>\n",
       "            <td>15</td>\n",
       "            <td>6808772.44</td>\n",
       "            <td>640858670.1</td>\n",
       "            <td>372086</td>\n",
       "            <td>12842890</td>\n",
       "            <td>1944282</td>\n",
       "            <td>1.05</td>\n",
       "            <td>5.62</td>\n",
       "            <td>2.49</td>\n",
       "            <td>361345</td>\n",
       "            <td>206183</td>\n",
       "            <td>9.5</td>\n",
       "            <td>6.7</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>四海</td>\n",
       "            <td>Only Fools Rush In</td>\n",
       "            <td>韩寒</td>\n",
       "            <td>刘昊然/刘浩存/沈腾/尹正/乔杉</td>\n",
       "            <td>剧情</td>\n",
       "            <td>剧情/喜剧</td>\n",
       "            <td>中国</td>\n",
       "            <td>nan</td>\n",
       "            <td>2D/IMAX/中国巨幕</td>\n",
       "            <td>2022-01-22</td>\n",
       "            <td>2022-02-28</td>\n",
       "            <td>8</td>\n",
       "            <td>2022-02-01</td>\n",
       "            <td>2022-03-02</td>\n",
       "            <td>5</td>\n",
       "            <td>32505.0</td>\n",
       "            <td>487548952.8</td>\n",
       "            <td>364516</td>\n",
       "            <td>8938628</td>\n",
       "            <td>4043005</td>\n",
       "            <td>2.27</td>\n",
       "            <td>4.73</td>\n",
       "            <td>0.78</td>\n",
       "            <td>609753</td>\n",
       "            <td>542255</td>\n",
       "            <td>8.9</td>\n",
       "            <td>5.6</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>喜羊羊与灰太狼之筐出未来</td>\n",
       "            <td>DUNK FOR FUTURE</td>\n",
       "            <td>黄伟明</td>\n",
       "            <td>祖晴/张琳/邓玉婷/梁颖/刘红韵</td>\n",
       "            <td>动画</td>\n",
       "            <td>动画/喜剧/运动</td>\n",
       "            <td>中国</td>\n",
       "            <td>94min</td>\n",
       "            <td>2D</td>\n",
       "            <td>2022-01-14</td>\n",
       "            <td>2022-02-28</td>\n",
       "            <td>8</td>\n",
       "            <td>2022-02-01</td>\n",
       "            <td>2022-03-02</td>\n",
       "            <td>17</td>\n",
       "            <td>10939491.12</td>\n",
       "            <td>112671682.85</td>\n",
       "            <td>188222</td>\n",
       "            <td>2480823</td>\n",
       "            <td>532583</td>\n",
       "            <td>0.26</td>\n",
       "            <td>0.87</td>\n",
       "            <td>0.35</td>\n",
       "            <td>145342</td>\n",
       "            <td>249536</td>\n",
       "            <td>9.3</td>\n",
       "            <td>6.7</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>小虎墩大英雄</td>\n",
       "            <td>Run,Tiger Run!</td>\n",
       "            <td>邹燚/曾靖雄</td>\n",
       "            <td>沈念慈/张健儒/梁达伟/邹亮/陈诗/苏翼</td>\n",
       "            <td>动画</td>\n",
       "            <td>动画/喜剧/冒险</td>\n",
       "            <td>中国</td>\n",
       "            <td>90min</td>\n",
       "            <td>2D/3D</td>\n",
       "            <td>2022-01-23</td>\n",
       "            <td>2022-02-28</td>\n",
       "            <td>8</td>\n",
       "            <td>2022-02-01</td>\n",
       "            <td>2022-03-02</td>\n",
       "            <td>3</td>\n",
       "            <td>117231.0</td>\n",
       "            <td>18667033.21</td>\n",
       "            <td>44068</td>\n",
       "            <td>365736</td>\n",
       "            <td>134894</td>\n",
       "            <td>0.07</td>\n",
       "            <td>0.17</td>\n",
       "            <td>0.03</td>\n",
       "            <td>24482</td>\n",
       "            <td>37523</td>\n",
       "            <td>9.3</td>\n",
       "            <td>nan</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>汪汪队立大功大电影</td>\n",
       "            <td>Paw Patrol: The Movie</td>\n",
       "            <td>卡尔·布伦克尔</td>\n",
       "            <td>基根·赫德利/马尔赛·马丁/罗恩·帕尔多/莎拉·乔德利/雅拉·沙希迪</td>\n",
       "            <td>动画</td>\n",
       "            <td>动画/喜剧/冒险</td>\n",
       "            <td>美国</td>\n",
       "            <td>88min</td>\n",
       "            <td>2D/中国巨幕</td>\n",
       "            <td>2022-01-13</td>\n",
       "            <td>2022-02-28</td>\n",
       "            <td>26</td>\n",
       "            <td>2022-01-14</td>\n",
       "            <td>2022-02-12</td>\n",
       "            <td>1</td>\n",
       "            <td>0.0</td>\n",
       "            <td>77589876.23</td>\n",
       "            <td>503890</td>\n",
       "            <td>2357389</td>\n",
       "            <td>120876</td>\n",
       "            <td>0.04</td>\n",
       "            <td>0.23</td>\n",
       "            <td>0.23</td>\n",
       "            <td>46550</td>\n",
       "            <td>40161</td>\n",
       "            <td>9.2</td>\n",
       "            <td>7.2</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>带你去见我妈</td>\n",
       "            <td>BACK TO LOVE</td>\n",
       "            <td>蓝鸿春</td>\n",
       "            <td>郑润奇/钟少贤/卢珊/郑鹏生/连锡龙</td>\n",
       "            <td>喜剧</td>\n",
       "            <td>喜剧/爱情/家庭</td>\n",
       "            <td>中国</td>\n",
       "            <td>100min</td>\n",
       "            <td>2D</td>\n",
       "            <td>2022-01-02</td>\n",
       "            <td>2022-02-14</td>\n",
       "            <td>33</td>\n",
       "            <td>2022-01-07</td>\n",
       "            <td>2022-02-05</td>\n",
       "            <td>5</td>\n",
       "            <td>614772.15</td>\n",
       "            <td>22965609.69</td>\n",
       "            <td>87984</td>\n",
       "            <td>672822</td>\n",
       "            <td>57509</td>\n",
       "            <td>0.02</td>\n",
       "            <td>0.05</td>\n",
       "            <td>0.05</td>\n",
       "            <td>23227</td>\n",
       "            <td>22821</td>\n",
       "            <td>9.5</td>\n",
       "            <td>7.6</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>\n",
       "        </div>\n",
       "\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x1ebe009a6f0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "headers = colums\n",
    "rows_all = data_haed[colums].apply(lambda x: list(x), axis=1).values.tolist()\n",
    "\n",
    "table_all = Table()\n",
    "attributes = {\"class\": \"fl-table\", \"style\": \"margin: 0 auto\"}  # 居中显示\n",
    "table_all.add(headers, rows_all, attributes)\n",
    "table_all.set_global_opts(\n",
    "    title_opts=ComponentTitleOpts(title=f\"春节档-电影详情数据概览\", subtitle=\"（上下左右移动表格）\")\n",
    ")\n",
    "table_all.render_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "FFA09CEFB67B456691DD6C2629904340",
    "jupyter": {},
    "mdEditEnable": false,
    "notebookId": "6475f15b87e80c34bf03eccf",
    "runtime": {
     "execution_status": null,
     "status": "default"
    },
    "scrolled": false,
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "## 电影票房七日时段详情"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Defaulting to user installation because normal site-packages is not writeable\n",
      "Looking in indexes: http://pypi.douban.com/simple/\n",
      "Requirement already satisfied: xlrd in d:\\software\\lib\\site-packages (2.0.1)\n"
     ]
    }
   ],
   "source": [
    "!pip install xlrd -i http://pypi.douban.com/simple/ --trusted-host pypi.douban.com"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "id": "20D014393CD7461B8954DE7265869B0C",
    "jupyter": {},
    "notebookId": "6475f15b87e80c34bf03eccf",
    "scrolled": true,
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "data_movie_time = pd.read_excel(r\"./春节档-电影票房三十日时段详情.xls\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "id": "CBA8C5169D5A4B9E8C3CEBCC39407D06",
    "jupyter": {},
    "notebookId": "6475f15b87e80c34bf03eccf",
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>电影</th>\n",
       "      <th>EnMovieID</th>\n",
       "      <th>DBOMovieID</th>\n",
       "      <th>日期</th>\n",
       "      <th>星期</th>\n",
       "      <th>当前票房/千万</th>\n",
       "      <th>当前场次/万</th>\n",
       "      <th>当前人次/百万</th>\n",
       "      <th>票房占比</th>\n",
       "      <th>黄金场票房/万</th>\n",
       "      <th>黄金场场次</th>\n",
       "      <th>黄金场人次</th>\n",
       "      <th>黄金场票房占比</th>\n",
       "      <th>黄金场场次占比</th>\n",
       "      <th>黄金场人次占比</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>长津湖之水门桥</td>\n",
       "      <td>709649</td>\n",
       "      <td>39085</td>\n",
       "      <td>2022-02-01</td>\n",
       "      <td>二</td>\n",
       "      <td>63.85</td>\n",
       "      <td>14.94</td>\n",
       "      <td>11.14</td>\n",
       "      <td>44.07</td>\n",
       "      <td>152743012</td>\n",
       "      <td>30348</td>\n",
       "      <td>2566593</td>\n",
       "      <td>24</td>\n",
       "      <td>20</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>长津湖之水门桥</td>\n",
       "      <td>709649</td>\n",
       "      <td>39085</td>\n",
       "      <td>2022-02-02</td>\n",
       "      <td>三</td>\n",
       "      <td>47.16</td>\n",
       "      <td>16.31</td>\n",
       "      <td>8.52</td>\n",
       "      <td>44.93</td>\n",
       "      <td>116514075</td>\n",
       "      <td>33048</td>\n",
       "      <td>2058020</td>\n",
       "      <td>25</td>\n",
       "      <td>20</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        电影  EnMovieID  DBOMovieID          日期 星期  当前票房/千万  当前场次/万  当前人次/百万  \\\n",
       "0  长津湖之水门桥     709649       39085  2022-02-01  二    63.85   14.94    11.14   \n",
       "1  长津湖之水门桥     709649       39085  2022-02-02  三    47.16   16.31     8.52   \n",
       "\n",
       "    票房占比    黄金场票房/万  黄金场场次    黄金场人次  黄金场票房占比  黄金场场次占比  黄金场人次占比  \n",
       "0  44.07  152743012  30348  2566593       24       20       23  \n",
       "1  44.93  116514075  33048  2058020       25       20       24  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_movie_time[\"当前票房/万\"] = data_movie_time[\"当前票房/万\"].apply(lambda x: round(x/10000000, 2))\n",
    "data_movie_time[\"当前场次\"] = data_movie_time[\"当前场次\"].apply(lambda x: round(x/10000, 2))\n",
    "data_movie_time[\"当前人次/万\"] = data_movie_time[\"当前人次/万\"].apply(lambda x: round(x/1000000, 2))\n",
    " \n",
    "data_movie_time = data_movie_time.rename(columns={\"当前票房/万\": \"当前票房/千万\", \"当前场次\": \"当前场次/万\", \"当前人次/万\": \"当前人次/百万\"})\n",
    "data_movie_time = data_movie_time[data_movie_time['日期']<='2022-02-07']\n",
    "data_movie_time.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "id": "1043CC9A700F428A964C0A84EADD9E48",
    "jupyter": {},
    "notebookId": "6475f15b87e80c34bf03eccf",
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "电影\n",
       "带你去见我妈          30\n",
       "汪汪队立大功大电影       25\n",
       "长津湖之水门桥          7\n",
       "这个杀手不太冷静         7\n",
       "奇迹·笨小孩           7\n",
       "狙击手              7\n",
       "熊出没·重返地球         7\n",
       "四海               7\n",
       "喜羊羊与灰太狼之筐出未来     7\n",
       "小虎墩大英雄           7\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_movie_time['电影'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "id": "28293A4880C144D59FCCCAE6BD68186C",
    "jupyter": {},
    "notebookId": "6475f15b87e80c34bf03eccf",
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "movie_chang = data_movie_time[data_movie_time[\"电影\"] == \"长津湖之水门桥\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "44962AA26B0B41FC8EDD248EC500F7C6",
    "jupyter": {},
    "mdEditEnable": false,
    "notebookId": "6475f15b87e80c34bf03eccf",
    "runtime": {
     "execution_status": null,
     "status": "default"
    },
    "scrolled": false,
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "## 长津湖上映后一周电影票房表现"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "hide_input": true,
    "id": "084A72B302BD4E7E8B4251C5AD0077B0",
    "jupyter": {},
    "notebookId": "6475f15b87e80c34bf03eccf",
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'D:\\\\kuakeDownload\\\\python数据分析\\\\文化娱乐-春节档票房分析（Pyecharts大屏可视化）\\\\my_chart.html'"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "line = Line(\n",
    "    init_opts=opts.InitOpts(\n",
    "        theme='light',\n",
    "        width='1000px',\n",
    "        height='600px')\n",
    ")\n",
    "\n",
    "line.add_xaxis(\n",
    "    movie_chang[\"日期\"].tolist()\n",
    ")\n",
    "\n",
    "colums = [\"当前票房/千万\", \"当前人次/百万\", \"当前场次/万\"]\n",
    "for i in range(3):\n",
    "\n",
    "    line.add_yaxis(\n",
    "        colums[i],\n",
    "        movie_chang[colums[i]],\n",
    "        is_symbol_show=False,\n",
    "        is_smooth=True,\n",
    "        is_selected=True,\n",
    "        areastyle_opts=opts.AreaStyleOpts(opacity=0.5),\n",
    "        label_opts=opts.LabelOpts(is_show=False),\n",
    "        z=100,\n",
    "        linestyle_opts={\n",
    "                \"normal\": {\n",
    "                    \"shadowColor\": 'rgba(0, 0, 0, .5)',\n",
    "                    \"shadowBlur\": 0,\n",
    "                    \"shadowOffsetY\": 1,\n",
    "                    \"shadowOffsetX\": 1,\n",
    "                },\n",
    "            },\n",
    "    )\n",
    "\n",
    "line.set_global_opts(\n",
    "    xaxis_opts=opts.AxisOpts(\n",
    "        boundary_gap=False,\n",
    "        axislabel_opts=opts.LabelOpts(margin=30, color=\"black\"),\n",
    "        axistick_opts=opts.AxisTickOpts(is_show=False),),\n",
    "    yaxis_opts=opts.AxisOpts(\n",
    "        name='',\n",
    "        axisline_opts=opts.AxisLineOpts(is_show=True),\n",
    "        axistick_opts=opts.AxisTickOpts(is_show=False),\n",
    "        splitline_opts=opts.SplitLineOpts(\n",
    "            is_show=True,\n",
    "            linestyle_opts=opts.LineStyleOpts(color='#483D8B'))\n",
    "    ),\n",
    "    tooltip_opts=opts.TooltipOpts(\n",
    "        is_show=True, trigger='axis', axis_pointer_type='cross'),\n",
    "    title_opts=opts.TitleOpts(title=\"长津湖上映后一周电影票房表现\",# 标题\n",
    "                            title_textstyle_opts=opts.TextStyleOpts(font_size=18), #主标题字体大小\n",
    "                            subtitle=\"2022-02-01~2022-02-07\", # 次坐标轴\n",
    "                            pos_left='center'),# 标题位置\n",
    "    legend_opts=opts.LegendOpts(\n",
    "                                is_show=True,\n",
    "                                pos_top=45,\n",
    "                                orient=\"horizontal\"\n",
    "                                                ),  # 不显示图例\n",
    "\n",
    "    graphic_opts=[\n",
    "                opts.GraphicGroup(\n",
    "                            graphic_item=opts.GraphicItem(id_='1',left=\"center\", top=\"center\", z=-1),\n",
    "                            children=[\n",
    "                                    opts.GraphicImage(graphic_item=opts.GraphicItem(id_=\"logo\",\n",
    "                                                                                    left='center',\n",
    "                                                                                    z=-1),\n",
    "                                                      graphic_imagestyle_opts=opts.GraphicImageStyleOpts(\n",
    "                                        # 设置背景图片\n",
    "                                        #image=\"https://img2.baidu.com/it/u=3979355417,3562690433&fm=253&fmt=auto&app=138&f=JPEG?w=500&h=388\",\n",
    "                                        width=1000,\n",
    "                                        height=600,\n",
    "                                        opacity=0.5,)\n",
    "                                    )\n",
    "                                ]\n",
    "                                )\n",
    "                                ]\n",
    ")\n",
    "\n",
    "line.set_series_opts(\n",
    "   \n",
    "    markarea_opts=opts.MarkAreaOpts(\n",
    "        is_silent=True,\n",
    "        label_opts=opts.LabelOpts(position='bottom', color='#000000'),\n",
    "        itemstyle_opts=opts.ItemStyleOpts(color='#1E90FF', opacity=0.2),\n",
    "        data=[\n",
    "            opts.MarkAreaItem(name=\"正式上映\\n春节档\", x=(\"2022-02-01\", \"2022-02-02\")),\n",
    "            # opts.MarkAreaItem(name=\"高峰期\", x=(\"2021-10-05\", \"2021-10-07\")),\n",
    "            # opts.MarkAreaItem(name=\"第三周\\n小高峰\", x=(\"2021-10-15\", \"2021-10-17\")),\n",
    "        ]\n",
    "    ),\n",
    ")\n",
    "line.set_colors(colors=['#80FFA5', '#00DDFF', '#FF0087'])\n",
    "line.render_notebook()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "C0DBF9AF233C47F9B7D07464B80EBE4A",
    "jupyter": {},
    "mdEditEnable": false,
    "notebookId": "6475f15b87e80c34bf03eccf",
    "runtime": {
     "execution_status": null,
     "status": "default"
    },
    "scrolled": false,
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "## 春节档-票房详情大盘数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "id": "D0BABAF8DA3043148935403DCD70EA0D",
    "jupyter": {},
    "notebookId": "6475f15b87e80c34bf03eccf",
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>日期</th>\n",
       "      <th>票房</th>\n",
       "      <th>票房环比</th>\n",
       "      <th>场次</th>\n",
       "      <th>场次环比</th>\n",
       "      <th>人次</th>\n",
       "      <th>人次环比</th>\n",
       "      <th>场均人次</th>\n",
       "      <th>平均票价</th>\n",
       "      <th>当日票房冠军</th>\n",
       "      <th>服务费</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-02-07</td>\n",
       "      <td>5.216625e+08</td>\n",
       "      <td>-32.03</td>\n",
       "      <td>426462</td>\n",
       "      <td>-6.80</td>\n",
       "      <td>10938703</td>\n",
       "      <td>-29.49</td>\n",
       "      <td>26</td>\n",
       "      <td>48</td>\n",
       "      <td>长津湖之水门桥￥19074万 占37%</td>\n",
       "      <td>48125189.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-02-06</td>\n",
       "      <td>7.674549e+08</td>\n",
       "      <td>-10.91</td>\n",
       "      <td>457564</td>\n",
       "      <td>-4.49</td>\n",
       "      <td>15514640</td>\n",
       "      <td>-9.52</td>\n",
       "      <td>34</td>\n",
       "      <td>49</td>\n",
       "      <td>长津湖之水门桥￥28841万 占38%</td>\n",
       "      <td>57248675.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-02-05</td>\n",
       "      <td>8.613918e+08</td>\n",
       "      <td>-3.28</td>\n",
       "      <td>479079</td>\n",
       "      <td>-1.77</td>\n",
       "      <td>17146416</td>\n",
       "      <td>-1.40</td>\n",
       "      <td>36</td>\n",
       "      <td>50</td>\n",
       "      <td>长津湖之水门桥￥33388万 占39%</td>\n",
       "      <td>68692473.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-02-04</td>\n",
       "      <td>8.906360e+08</td>\n",
       "      <td>-12.62</td>\n",
       "      <td>487703</td>\n",
       "      <td>-3.61</td>\n",
       "      <td>17390306</td>\n",
       "      <td>-9.49</td>\n",
       "      <td>36</td>\n",
       "      <td>51</td>\n",
       "      <td>长津湖之水门桥￥35846万 占40%</td>\n",
       "      <td>74792791.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-02-03</td>\n",
       "      <td>1.019280e+09</td>\n",
       "      <td>-4.10</td>\n",
       "      <td>505980</td>\n",
       "      <td>-3.14</td>\n",
       "      <td>19214740</td>\n",
       "      <td>-1.60</td>\n",
       "      <td>38</td>\n",
       "      <td>53</td>\n",
       "      <td>长津湖之水门桥￥43921万 占43%</td>\n",
       "      <td>91251155.02</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           日期            票房   票房环比      场次  场次环比        人次   人次环比  场均人次  平均票价  \\\n",
       "0  2022-02-07  5.216625e+08 -32.03  426462 -6.80  10938703 -29.49    26    48   \n",
       "1  2022-02-06  7.674549e+08 -10.91  457564 -4.49  15514640  -9.52    34    49   \n",
       "2  2022-02-05  8.613918e+08  -3.28  479079 -1.77  17146416  -1.40    36    50   \n",
       "3  2022-02-04  8.906360e+08 -12.62  487703 -3.61  17390306  -9.49    36    51   \n",
       "4  2022-02-03  1.019280e+09  -4.10  505980 -3.14  19214740  -1.60    38    53   \n",
       "\n",
       "                当日票房冠军          服务费  \n",
       "0  长津湖之水门桥￥19074万 占37%  48125189.04  \n",
       "1  长津湖之水门桥￥28841万 占38%  57248675.54  \n",
       "2  长津湖之水门桥￥33388万 占39%  68692473.25  \n",
       "3  长津湖之水门桥￥35846万 占40%  74792791.97  \n",
       "4  长津湖之水门桥￥43921万 占43%  91251155.02  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 读入数据\n",
    "data = pd.read_excel(r\"./春节档-票房详情.xlsx\")\n",
    "data.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "id": "75ADD3AF81E74BCF8A6812CD18BC03B3",
    "jupyter": {},
    "notebookId": "6475f15b87e80c34bf03eccf",
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def tranform_data(x):\n",
    "    x = round(x / 10000, 2)\n",
    "    return x\n",
    "\n",
    "data['票房/(万)'] = data['票房'].apply(lambda x: tranform_data(x))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "id": "00EF1D55C1214099816F3B2D8996BFAB",
    "jupyter": {},
    "notebookId": "6475f15b87e80c34bf03eccf",
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "data['票房/(万)'] = data['票房'].apply(lambda x: tranform_data(x))\n",
    "data_7 = data[data[\"日期\"] >= \"2022-02-01\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "B3007BD038D7448B812C90D188043BF8",
    "jupyter": {},
    "mdEditEnable": false,
    "notebookId": "6475f15b87e80c34bf03eccf",
    "runtime": {
     "execution_status": null,
     "status": "default"
    },
    "scrolled": false,
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "## 2022年春节电影票房大盘"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "hide_input": true,
    "id": "5CB6C7E383B847F39FCA849BFE30C8BD",
    "jupyter": {},
    "notebookId": "6475f15b87e80c34bf03eccf",
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [
    {
     "ename": "ImportError",
     "evalue": "cannot import name 'NotebookType' from 'pyecharts.commons.utils' (C:\\Users\\ikun\\AppData\\Roaming\\Python\\Python312\\site-packages\\pyecharts\\commons\\utils.py)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mImportError\u001b[0m                               Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[22], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mpyecharts\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mcommons\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mutils\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m NotebookType, render\n\u001b[0;32m      3\u001b[0m render(notebook_type\u001b[38;5;241m=\u001b[39mNotebookType\u001b[38;5;241m.\u001b[39mJUPYTER_LAB)\n\u001b[0;32m      5\u001b[0m bar \u001b[38;5;241m=\u001b[39m (\n\u001b[0;32m      6\u001b[0m     Bar(init_opts\u001b[38;5;241m=\u001b[39mopts\u001b[38;5;241m.\u001b[39mInitOpts(\n\u001b[0;32m      7\u001b[0m         theme\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlight\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m     84\u001b[0m                          )\n\u001b[0;32m     85\u001b[0m )\n",
      "\u001b[1;31mImportError\u001b[0m: cannot import name 'NotebookType' from 'pyecharts.commons.utils' (C:\\Users\\ikun\\AppData\\Roaming\\Python\\Python312\\site-packages\\pyecharts\\commons\\utils.py)"
     ]
    }
   ],
   "source": [
    "from pyecharts.commons.utils import NotebookType, render\n",
    "\n",
    "render(notebook_type=NotebookType.JUPYTER_LAB)\n",
    "\n",
    "bar = (\n",
    "    Bar(init_opts=opts.InitOpts(\n",
    "        theme='light',\n",
    "        width='980px',\n",
    "        height='500px'\n",
    "    ))  # 设置图表大小\n",
    "        .add_xaxis(xaxis_data=data_7['日期'].tolist())  # x轴\n",
    "        .add_yaxis(\n",
    "        series_name=\"场次\",  # 柱形图系列名称\n",
    "        y_axis=data_7['场次'].tolist(),  # 数据\n",
    "        label_opts=opts.LabelOpts(is_show=False, position='top', formatter=\"{c}\"),  # 显示数据标签\n",
    "        itemstyle_opts=opts.AreaStyleOpts(\n",
    "            opacity=0.8,\n",
    "            color=JsCode(\"\"\"\n",
    "                            new echarts.graphic.LinearGradient(\n",
    "                            0, 0, 0, 1,\n",
    "                            [{offset: 0, color: 'rgba(30,144,255)'},\n",
    "                             {offset: 1, color: 'rgba(30,144,255,0.5)'}],\n",
    "                              false)\n",
    "                            \"\"\")\n",
    "        )\n",
    "    )\n",
    "        .add_yaxis(\n",
    "        series_name=\"人次\",  # 柱形图系列名称\n",
    "        y_axis=data_7['人次'].tolist(),  # 数据\n",
    "        label_opts=opts.LabelOpts(is_show=False, position='top', formatter=\"{c}\"),  # 显示数据标签\n",
    "        itemstyle_opts=opts.AreaStyleOpts(\n",
    "            opacity=0.8,\n",
    "            color=JsCode(\"\"\"\n",
    "                             new echarts.graphic.LinearGradient(\n",
    "                                           0, 0, 0, 1,\n",
    "                                           [{offset: 0, color: '#ed556a'},\n",
    "                                            {offset: 1, color: '#ee3f4d'}],\n",
    "                                           false)\n",
    "                           \"\"\")\n",
    "        )\n",
    "    )\n",
    "\n",
    "        .extend_axis(  # 设置次坐标轴\n",
    "        yaxis=opts.AxisOpts(\n",
    "            name=\"\",  # 次坐标轴名称\n",
    "            type_=\"value\",  # 次坐标手类型\n",
    "            min_=-4000,  # 最小值\n",
    "            max_=200000,  # 最大值\n",
    "            is_show=False,  # 是否显示\n",
    "            axisline_opts=opts.AxisLineOpts(is_show=False,  # y轴线不显示\n",
    "                                            linestyle_opts=opts.LineStyleOpts(color='#00ca95')),  # 设置线颜色, 字体颜色也变\n",
    "            axistick_opts=opts.AxisTickOpts(is_show=False),  # 刻度线不显示\n",
    "            axislabel_opts=opts.LabelOpts(formatter=\"{value}\"),  # 次坐标轴数据显示格式\n",
    "        )\n",
    "    )\n",
    "\n",
    "        .set_global_opts(title_opts=opts.TitleOpts(title=\"2022年春节电影票房大盘\",  # 标题\n",
    "                                                   title_textstyle_opts=opts.TextStyleOpts(font_size=20),  # 主标题字体大小\n",
    "                                                   subtitle=\"2022-02-01~2022-02-07\",  # 次坐标轴\n",
    "                                                   pos_left='center'),  # 标题位置\n",
    "                         legend_opts=opts.LegendOpts(\n",
    "                             is_show=True,\n",
    "                             pos_top=50,\n",
    "                             orient=\"horizontal\"\n",
    "                         ),  # 不显示图例\n",
    "                         tooltip_opts=opts.TooltipOpts(\n",
    "                             trigger=\"axis\",\n",
    "                             axis_pointer_type=\"shadow\"\n",
    "                         ),  # 提示框\n",
    "                         xaxis_opts=opts.AxisOpts(name='',\n",
    "                                                  type_='category',\n",
    "                                                  axislabel_opts=opts.LabelOpts(rotate=360),\n",
    "                                                  ),\n",
    "                         yaxis_opts=opts.AxisOpts(type_=\"value\",  # y轴类型\n",
    "                                                  is_show=False,\n",
    "                                                  # max_=5000000,\n",
    "                                                  name='',  # y轴名称\n",
    "                                                  name_location='middle',  # y轴名称位置\n",
    "                                                  name_gap=70,  # y轴名称距离轴线距离\n",
    "                                                  axistick_opts=opts.AxisTickOpts(is_show=False),  # 刻度线\n",
    "                                                  axisline_opts=opts.AxisLineOpts(is_show=True),  # y轴线\n",
    "                                                  splitline_opts=opts.SplitLineOpts(is_show=True),  # y轴网格线\n",
    "                                                  axislabel_opts=opts.LabelOpts(formatter=\"{value}\")),  # 轴标签显示方式\n",
    "                         )\n",
    ")\n",
    "\n",
    "line = (\n",
    "    Line()\n",
    "        .add_xaxis(xaxis_data=data_7['日期'].tolist())  # x轴\n",
    "        .add_yaxis(\n",
    "        series_name=\"票房/(万)\",  # 名称\n",
    "        yaxis_index=1,  # 次坐标\n",
    "        is_smooth=True,  # 线条样式  , 是否设置成圆滑曲线\n",
    "        y_axis=data_7['票房/(万)'].tolist(),\n",
    "        itemstyle_opts={\n",
    "            \"normal\": {\n",
    "                \"color\": JsCode(\n",
    "                    \"\"\"new echarts.graphic.LinearGradient(0, 0, 0, 1, [{\n",
    "                                        offset: 0,\n",
    "                                        color: '#2486b9'\n",
    "                                    }, {\n",
    "                                        offset: 1,\n",
    "                                        color: '#FF00FF'\n",
    "                                    }], false)\"\"\", ),\n",
    "                \"opacity\": 0.7,\n",
    "                \"barBorderRadius\": [45, 45, 45, 45],\n",
    "                \"shadowColor\": 'rgb(0, 160, 221)',\n",
    "            }},\n",
    "        linestyle_opts={\n",
    "            'normal': {\n",
    "                'width': 4,\n",
    "                'shadowColor': 'rgba(0, 0, 0, 0.5)',\n",
    "                'shadowBlur': 5,\n",
    "                'shadowOffsetY': 10,\n",
    "                'shadowOffsetX': 10,\n",
    "                'curve': 0.7,\n",
    "                'color': '#2486b9'\n",
    "            }\n",
    "        },\n",
    "        label_opts=opts.LabelOpts(is_show=False),  # 显示数据标签\n",
    "    )\n",
    ")\n",
    "\n",
    "bar.overlap(line)  # 图表组合\n",
    "bar.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "id": "F9C85B058CFC4426838C5463765FC130",
    "jupyter": {},
    "notebookId": "6475f15b87e80c34bf03eccf",
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>EntMovieID</th>\n",
       "      <th>DBOMovieID</th>\n",
       "      <th>EFMTMovieID</th>\n",
       "      <th>电影</th>\n",
       "      <th>英文电影名</th>\n",
       "      <th>导演</th>\n",
       "      <th>主演</th>\n",
       "      <th>GenreMainID</th>\n",
       "      <th>主要类型</th>\n",
       "      <th>作品类型</th>\n",
       "      <th>...</th>\n",
       "      <th>累计场次/万</th>\n",
       "      <th>累计人次/百万</th>\n",
       "      <th>第一天观看人次</th>\n",
       "      <th>首映票房</th>\n",
       "      <th>首周票房</th>\n",
       "      <th>首周末票房</th>\n",
       "      <th>猫眼想看人数</th>\n",
       "      <th>淘票票想看人数</th>\n",
       "      <th>猫眼评分</th>\n",
       "      <th>豆瓣评分</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>709649</td>\n",
       "      <td>39085</td>\n",
       "      <td>40910</td>\n",
       "      <td>长津湖之水门桥</td>\n",
       "      <td>The Battle At Lake Changjin II</td>\n",
       "      <td>陈凯歌/徐克/林超贤</td>\n",
       "      <td>吴京/易烊千玺/朱亚文/李晨/韩东君/胡军</td>\n",
       "      <td>27</td>\n",
       "      <td>战争</td>\n",
       "      <td>战争/历史/主旋律</td>\n",
       "      <td>...</td>\n",
       "      <td>116.14</td>\n",
       "      <td>52.06</td>\n",
       "      <td>11142376</td>\n",
       "      <td>6.384868e+08</td>\n",
       "      <td>2.530065e+09</td>\n",
       "      <td>9.807439e+08</td>\n",
       "      <td>1155811</td>\n",
       "      <td>1144344</td>\n",
       "      <td>9.6</td>\n",
       "      <td>7.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   EntMovieID  DBOMovieID  EFMTMovieID       电影  \\\n",
       "0      709649       39085        40910  长津湖之水门桥   \n",
       "\n",
       "                            英文电影名          导演                     主演  \\\n",
       "0  The Battle At Lake Changjin II  陈凯歌/徐克/林超贤  吴京/易烊千玺/朱亚文/李晨/韩东君/胡军   \n",
       "\n",
       "   GenreMainID 主要类型       作品类型  ...  累计场次/万 累计人次/百万   第一天观看人次          首映票房  \\\n",
       "0           27   战争  战争/历史/主旋律  ...  116.14   52.06  11142376  6.384868e+08   \n",
       "\n",
       "           首周票房         首周末票房   猫眼想看人数  淘票票想看人数  猫眼评分  豆瓣评分  \n",
       "0  2.530065e+09  9.807439e+08  1155811  1144344   9.6   7.2  \n",
       "\n",
       "[1 rows x 31 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_excel(r'./春节档-电影票房表现概览.xlsx')\n",
    "\n",
    "data[\"累计票房\"] = data[\"累计票房\"].apply(lambda x: round(x / 10000000, 2))\n",
    "data[\"累计场次\"] = data[\"累计场次\"].apply(lambda x: round(x / 10000, 2))\n",
    "data[\"累计人次\"] = data[\"累计人次\"].apply(lambda x: round(x / 1000000, 2))\n",
    "\n",
    "data = data.rename(columns={\"累计票房\": \"累计票房/千万\", \"累计场次\": \"累计场次/万\", \"累计人次\": \"累计人次/百万\"})\n",
    "data = data[data['正式上映日期'] == '2022-02-01']\n",
    "data.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "id": "A158480C07C246EBB4AC4D45ABD450F1",
    "jupyter": {},
    "notebookId": "6475f15b87e80c34bf03eccf",
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['长津湖之水门桥',\n",
       " '这个杀手不太冷静',\n",
       " '奇迹·笨小孩',\n",
       " '狙击手',\n",
       " '熊出没·重返地球',\n",
       " '四海',\n",
       " '喜羊羊与灰太狼之筐出未来',\n",
       " '小虎墩大英雄']"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movies = data['电影'].tolist()\n",
    "movies"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "8C50DB3A22194B23BFEB83B920615CCD",
    "jupyter": {},
    "mdEditEnable": false,
    "notebookId": "6475f15b87e80c34bf03eccf",
    "runtime": {
     "execution_status": null,
     "status": "default"
    },
    "scrolled": false,
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "## 春节档上映电影票房表现概览"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
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    "jupyter": {},
    "notebookId": "6475f15b87e80c34bf03eccf",
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [
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   "source": [
    "bar_china = (\n",
    "    Bar(init_opts=opts.InitOpts(width=\"1200px\", height=\"600px\", theme='light'))  # 设置图表大小\n",
    "        .add_xaxis(xaxis_data=data['电影'].tolist())  # x轴\n",
    "        .add_yaxis(\n",
    "        series_name=\"累计票房/千万\",  # 柱形图系列名称\n",
    "        stack='stack1',\n",
    "        y_axis=data['累计票房/千万'].tolist(),  # 数据\n",
    "        label_opts=opts.LabelOpts(is_show=False, position='top', formatter=\"{c} /千万\"),  # 显示数据标签\n",
    "        itemstyle_opts={\n",
    "            \"normal\": {\n",
    "                \"color\": JsCode(\"\"\"new echarts.graphic.LinearGradient(0, 0, 0, 1, [{\n",
    "                    offset: 0,\n",
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    "                }, {\n",
    "                    offset: 1,\n",
    "                    color: '#619ac3'\n",
    "                }], false)\"\"\", ),\n",
    "                \"opacity\": 0.8,\n",
    "                #                 \"barBorderRadius\": [20, 20, 0, 0],\n",
    "                'shadowBlur': 4,\n",
    "                'shadowColor': 'rgba(0, 0, 0, 0.3)',\n",
    "                'shadowOffsetX': 5,\n",
    "                'shadowOffsetY': 5,\n",
    "                'borderColor': 'rgb(220,220,220)',\n",
    "                'borderWidth': 1\n",
    "            }}\n",
    "    )\n",
    "        .add_yaxis(\n",
    "        series_name=\"累计人次/百万\",  # 柱形图系列名称\n",
    "        stack='stack1',\n",
    "        y_axis=data['累计人次/百万'].tolist(),  # 数据\n",
    "        label_opts=opts.LabelOpts(is_show=False, position='top', formatter=\"{c} /百万\"),  # 显示数据标签\n",
    "        itemstyle_opts={\n",
    "            \"normal\": {\n",
    "                \"color\": JsCode(\"\"\"new echarts.graphic.LinearGradient(0, 0, 0, 1, [{\n",
    "                    offset: 0,\n",
    "                    color: '#ea7293'\n",
    "                }, {\n",
    "                    offset: 1,\n",
    "                    color: '#ec8aa4'\n",
    "                }], false)\"\"\", ),\n",
    "                \"opacity\": 0.8,\n",
    "                #                 \"barBorderRadius\": [20, 20, 0, 0],\n",
    "                'shadowBlur': 4,\n",
    "                'shadowColor': 'rgba(0, 0, 0, 0.3)',\n",
    "                'shadowOffsetX': 5,\n",
    "                'shadowOffsetY': 5,\n",
    "                'borderColor': 'rgb(220,220,220)',\n",
    "                'borderWidth': 1\n",
    "            }}\n",
    "    )\n",
    "\n",
    "        .add_yaxis(\n",
    "        series_name=\"累计场次/万\",  # 柱形图系列名称\n",
    "        stack='stack1',\n",
    "        y_axis=data['累计场次/万'].tolist(),  # 数据\n",
    "        label_opts=opts.LabelOpts(is_show=False, position='top', formatter=\"{c} /万\"),  # 显示数据标签\n",
    "        itemstyle_opts={\n",
    "            \"normal\": {\n",
    "                \"color\": JsCode(\"\"\"new echarts.graphic.LinearGradient(0, 0, 0, 1, [{\n",
    "                    offset: 0,\n",
    "                    color: '#9eccab'\n",
    "                }, {\n",
    "                    offset: 1,\n",
    "                    color: '#a4cab6'\n",
    "                }], false)\"\"\", ),\n",
    "                \"opacity\": 0.8,\n",
    "                #                 \"barBorderRadius\": [20, 20, 0, 0],\n",
    "                'shadowBlur': 4,\n",
    "                'shadowColor': 'rgba(0, 0, 0, 0.3)',\n",
    "                'shadowOffsetX': 5,\n",
    "                'shadowOffsetY': 5,\n",
    "                'borderColor': 'rgb(220,220,220)',\n",
    "                'borderWidth': 1\n",
    "            }}\n",
    "    )\n",
    "\n",
    "        .reversal_axis()\n",
    "        # .set_series_opts(label_opts=opts.LabelOpts(position=\"right\"))\n",
    "        .set_global_opts(title_opts=opts.TitleOpts(title=\"春节档上映电影票房表现概览\",  # 标题\n",
    "                                                   title_textstyle_opts=opts.TextStyleOpts(font_size=20),  # 主标题字体大小\n",
    "                                                   subtitle=\"\",  # 次坐标轴\n",
    "                                                   pos_left='center'),  # 标题位置\n",
    "                         legend_opts=opts.LegendOpts(\n",
    "                             is_show=True,\n",
    "                             pos_top=30,\n",
    "                             orient=\"horizontal\"\n",
    "                         ),  # 不显示图例\n",
    "                         tooltip_opts=opts.TooltipOpts(\n",
    "                             trigger=\"axis\",\n",
    "                             axis_pointer_type=\"shadow\"\n",
    "                         ),  # 提示框\n",
    "                         yaxis_opts=opts.AxisOpts(name='',\n",
    "                                                  type_='category',\n",
    "                                                  #    axislabel_opts=opts.LabelOpts(rotate=30),\n",
    "                                                  ),\n",
    "                         xaxis_opts=opts.AxisOpts(type_=\"value\",  # y轴类型\n",
    "                                                  #   max_=5000000,\n",
    "                                                  name='',  # y轴名称\n",
    "                                                  name_location='middle',  # y轴名称位置\n",
    "                                                  name_gap=70,  # y轴名称距离轴线距离\n",
    "                                                  axistick_opts=opts.AxisTickOpts(is_show=False),  # 刻度线\n",
    "                                                  axisline_opts=opts.AxisLineOpts(is_show=False),  # y轴线\n",
    "                                                  splitline_opts=opts.SplitLineOpts(is_show=True),  # y轴网格线\n",
    "                                                  axislabel_opts=opts.LabelOpts(formatter=\"{value}\")),  # 轴标签显示方式\n",
    "                         # datazoom_opts=opts.DataZoomOpts(is_zoom_lock=False,\n",
    "                         #                                 orient=\"vertical\")\n",
    "                         )\n",
    ")\n",
    "bar_china.render_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "7383B921E5D04DD8BCDC279290530F86",
    "jupyter": {},
    "mdEditEnable": false,
    "notebookId": "6475f15b87e80c34bf03eccf",
    "runtime": {
     "execution_status": null,
     "status": "default"
    },
    "scrolled": false,
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "## 春节档-排片地域分布（场次）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "id": "28522B43C93E41AF8CC206C08F2108E0",
    "jupyter": {},
    "notebookId": "6475f15b87e80c34bf03eccf",
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>日期</th>\n",
       "      <th>城市</th>\n",
       "      <th>电影</th>\n",
       "      <th>场次</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-02-07</td>\n",
       "      <td>一线城市</td>\n",
       "      <td>CLevel</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-02-07</td>\n",
       "      <td>一线城市</td>\n",
       "      <td>CityLevel</td>\n",
       "      <td>一线城市</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-02-07</td>\n",
       "      <td>一线城市</td>\n",
       "      <td>709649|长津湖之水门桥</td>\n",
       "      <td>11802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-02-07</td>\n",
       "      <td>一线城市</td>\n",
       "      <td>708179|这个杀手不太冷静</td>\n",
       "      <td>9828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-02-07</td>\n",
       "      <td>一线城市</td>\n",
       "      <td>706338|奇迹·笨小孩</td>\n",
       "      <td>6181</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           日期    城市               电影     场次\n",
       "0  2022-02-07  一线城市           CLevel      1\n",
       "1  2022-02-07  一线城市        CityLevel   一线城市\n",
       "2  2022-02-07  一线城市   709649|长津湖之水门桥  11802\n",
       "3  2022-02-07  一线城市  708179|这个杀手不太冷静   9828\n",
       "4  2022-02-07  一线城市    706338|奇迹·笨小孩   6181"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_move_diyu = pd.read_excel(r'./春节档-排片地域分布（场次）-top10影片.xlsx')\n",
    "data_move_diyu.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "id": "2936842407E94FEE96E1CFE8818A22D5",
    "jupyter": {},
    "notebookId": "6475f15b87e80c34bf03eccf",
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>日期</th>\n",
       "      <th>城市</th>\n",
       "      <th>电影</th>\n",
       "      <th>场次</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-02-07</td>\n",
       "      <td>一线城市</td>\n",
       "      <td>长津湖之水门桥</td>\n",
       "      <td>11802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-02-07</td>\n",
       "      <td>一线城市</td>\n",
       "      <td>这个杀手不太冷静</td>\n",
       "      <td>9828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-02-07</td>\n",
       "      <td>一线城市</td>\n",
       "      <td>奇迹·笨小孩</td>\n",
       "      <td>6181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2022-02-07</td>\n",
       "      <td>一线城市</td>\n",
       "      <td>狙击手</td>\n",
       "      <td>5781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2022-02-07</td>\n",
       "      <td>一线城市</td>\n",
       "      <td>熊出没·重返地球</td>\n",
       "      <td>3034</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           日期    城市        电影     场次\n",
       "2  2022-02-07  一线城市   长津湖之水门桥  11802\n",
       "3  2022-02-07  一线城市  这个杀手不太冷静   9828\n",
       "4  2022-02-07  一线城市    奇迹·笨小孩   6181\n",
       "5  2022-02-07  一线城市       狙击手   5781\n",
       "6  2022-02-07  一线城市  熊出没·重返地球   3034"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_move_diyu = data_move_diyu.drop(data_move_diyu[(data_move_diyu['电影'] == \"CLevel\") | (data_move_diyu['电影'] == \"CityLevel\")].index)\n",
    "data_move_diyu[\"电影\"] = data_move_diyu[\"电影\"].apply(lambda x: x.split(\"|\")[-1])\n",
    "data_move_diyu.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_move_diyu = data_move_diyu.fillna(0)\n",
    "data_move_diyu['场次'] = data_move_diyu['场次'].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "id": "676797C141414088B4EC2A73C20D7C40",
    "jupyter": {},
    "notebookId": "6475f15b87e80c34bf03eccf",
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>日期</th>\n",
       "      <th>城市</th>\n",
       "      <th>电影</th>\n",
       "      <th>场次</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-02-07</td>\n",
       "      <td>一线城市</td>\n",
       "      <td>长津湖之水门桥</td>\n",
       "      <td>11802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-02-07</td>\n",
       "      <td>一线城市</td>\n",
       "      <td>这个杀手不太冷静</td>\n",
       "      <td>9828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-02-07</td>\n",
       "      <td>一线城市</td>\n",
       "      <td>奇迹·笨小孩</td>\n",
       "      <td>6181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2022-02-07</td>\n",
       "      <td>一线城市</td>\n",
       "      <td>狙击手</td>\n",
       "      <td>5781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2022-02-07</td>\n",
       "      <td>一线城市</td>\n",
       "      <td>熊出没·重返地球</td>\n",
       "      <td>3034</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           日期    城市        电影     场次\n",
       "2  2022-02-07  一线城市   长津湖之水门桥  11802\n",
       "3  2022-02-07  一线城市  这个杀手不太冷静   9828\n",
       "4  2022-02-07  一线城市    奇迹·笨小孩   6181\n",
       "5  2022-02-07  一线城市       狙击手   5781\n",
       "6  2022-02-07  一线城市  熊出没·重返地球   3034"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "one_city = data_move_diyu[(data_move_diyu['城市'] == '一线城市')]\n",
    "two_city = data_move_diyu[(data_move_diyu['城市'] == '二线城市')]\n",
    "three_city = data_move_diyu[(data_move_diyu['城市'] == '三线城市')]\n",
    "four_city = data_move_diyu[(data_move_diyu['城市'] == '四线城市')]\n",
    "five_city = data_move_diyu[(data_move_diyu['城市'] == '五线城市')]\n",
    "one_city.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "id": "DF0170C20BCE49A1A0155D2C3158D45C",
    "jupyter": {},
    "notebookId": "6475f15b87e80c34bf03eccf",
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>电影</th>\n",
       "      <th>一线城市场次</th>\n",
       "      <th>二线城市场次</th>\n",
       "      <th>三线城市场次</th>\n",
       "      <th>四线城市场次</th>\n",
       "      <th>五线城市场次</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>长津湖之水门桥</td>\n",
       "      <td>102185</td>\n",
       "      <td>358793</td>\n",
       "      <td>240544</td>\n",
       "      <td>222869</td>\n",
       "      <td>113999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>这个杀手不太冷静</td>\n",
       "      <td>68584</td>\n",
       "      <td>250606</td>\n",
       "      <td>174082</td>\n",
       "      <td>161984</td>\n",
       "      <td>79804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>奇迹·笨小孩</td>\n",
       "      <td>49719</td>\n",
       "      <td>177363</td>\n",
       "      <td>117773</td>\n",
       "      <td>115099</td>\n",
       "      <td>58419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>四海</td>\n",
       "      <td>36326</td>\n",
       "      <td>115744</td>\n",
       "      <td>78934</td>\n",
       "      <td>75835</td>\n",
       "      <td>38944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>狙击手</td>\n",
       "      <td>35058</td>\n",
       "      <td>106896</td>\n",
       "      <td>61403</td>\n",
       "      <td>52186</td>\n",
       "      <td>30055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>熊出没·重返地球</td>\n",
       "      <td>25687</td>\n",
       "      <td>107346</td>\n",
       "      <td>83216</td>\n",
       "      <td>74974</td>\n",
       "      <td>37094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>喜羊羊与灰太狼之筐出未来</td>\n",
       "      <td>9746</td>\n",
       "      <td>35138</td>\n",
       "      <td>24441</td>\n",
       "      <td>22786</td>\n",
       "      <td>11680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>小虎墩大英雄</td>\n",
       "      <td>4361</td>\n",
       "      <td>14250</td>\n",
       "      <td>8826</td>\n",
       "      <td>9003</td>\n",
       "      <td>5254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>汪汪队立大功大电影</td>\n",
       "      <td>1142</td>\n",
       "      <td>2926</td>\n",
       "      <td>881</td>\n",
       "      <td>370</td>\n",
       "      <td>101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>好想去你的世界爱你</td>\n",
       "      <td>499</td>\n",
       "      <td>2035</td>\n",
       "      <td>1087</td>\n",
       "      <td>1015</td>\n",
       "      <td>476</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             电影  一线城市场次  二线城市场次  三线城市场次  四线城市场次  五线城市场次\n",
       "0       长津湖之水门桥  102185  358793  240544  222869  113999\n",
       "1      这个杀手不太冷静   68584  250606  174082  161984   79804\n",
       "2        奇迹·笨小孩   49719  177363  117773  115099   58419\n",
       "3            四海   36326  115744   78934   75835   38944\n",
       "4           狙击手   35058  106896   61403   52186   30055\n",
       "5      熊出没·重返地球   25687  107346   83216   74974   37094\n",
       "6  喜羊羊与灰太狼之筐出未来    9746   35138   24441   22786   11680\n",
       "7        小虎墩大英雄    4361   14250    8826    9003    5254\n",
       "8     汪汪队立大功大电影    1142    2926     881     370     101\n",
       "9     好想去你的世界爱你     499    2035    1087    1015     476"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "one_city_movie = one_city.groupby('电影')['场次'].sum().reset_index().sort_values('场次', ascending=False).reset_index(\n",
    "            drop=True)[:10]\n",
    "one_city_movie = one_city_movie.rename(columns = {'场次': '一线城市场次'})\n",
    "two_city_movie = two_city.groupby('电影')['场次'].sum().reset_index().sort_values('场次', ascending=False).reset_index(\n",
    "            drop=True)\n",
    "two_city_movie = two_city_movie.rename(columns = {'场次': '二线城市场次'})\n",
    "three_city_movie = three_city.groupby('电影')['场次'].sum().reset_index().sort_values('场次', ascending=False).reset_index(\n",
    "            drop=True)\n",
    "three_city_movie = three_city_movie.rename(columns = {'场次': '三线城市场次'})\n",
    "four_city_movie = four_city.groupby('电影')['场次'].sum().reset_index().sort_values('场次', ascending=False).reset_index(\n",
    "            drop=True)\n",
    "four_city_movie = four_city_movie.rename(columns = {'场次': '四线城市场次'})\n",
    "five_city_movie = five_city.groupby('电影')['场次'].sum().reset_index().sort_values('场次', ascending=False).reset_index(\n",
    "            drop=True)\n",
    "five_city_movie = five_city_movie.rename(columns = {'场次': '五线城市场次'})\n",
    "\n",
    "move_top_10 = one_city_movie.merge(two_city_movie, how='left', on='电影').fillna(0)\n",
    "move_top_10 = move_top_10.merge(three_city_movie, how='left', on='电影').fillna(0)\n",
    "move_top_10 = move_top_10.merge(four_city_movie, how='left', on='电影').fillna(0)\n",
    "move_top_10 = move_top_10.merge(five_city_movie, how='left', on='电影').fillna(0)\n",
    "move_top_10"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "BAC0C4FC20C7421D809058427848599F",
    "jupyter": {},
    "mdEditEnable": false,
    "notebookId": "6475f15b87e80c34bf03eccf",
    "runtime": {
     "execution_status": null,
     "status": "default"
    },
    "scrolled": false,
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "## 春节档-排片统计（场次）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "id": "E892060EF33445BEB921538BAE6FBCF5",
    "jupyter": {},
    "notebookId": "6475f15b87e80c34bf03eccf",
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>日期</th>\n",
       "      <th>电影</th>\n",
       "      <th>场次</th>\n",
       "      <th>占比</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-02-07</td>\n",
       "      <td>长津湖之水门桥</td>\n",
       "      <td>127296</td>\n",
       "      <td>29.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-02-07</td>\n",
       "      <td>这个杀手不太冷静</td>\n",
       "      <td>106724</td>\n",
       "      <td>25.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-02-07</td>\n",
       "      <td>奇迹·笨小孩</td>\n",
       "      <td>65424</td>\n",
       "      <td>15.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-02-07</td>\n",
       "      <td>狙击手</td>\n",
       "      <td>46466</td>\n",
       "      <td>10.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-02-07</td>\n",
       "      <td>熊出没·重返地球</td>\n",
       "      <td>42144</td>\n",
       "      <td>9.88</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           日期        电影      场次     占比\n",
       "0  2022-02-07   长津湖之水门桥  127296  29.85\n",
       "1  2022-02-07  这个杀手不太冷静  106724  25.03\n",
       "2  2022-02-07    奇迹·笨小孩   65424  15.34\n",
       "3  2022-02-07       狙击手   46466  10.90\n",
       "4  2022-02-07  熊出没·重返地球   42144   9.88"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "paipian_top = pd.read_excel(r'./春节档-排片统计（场次）-top10影片.xlsx')\n",
    "paipian_top.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "id": "869D5DE8780C41FF92F6CB30F521F40F",
    "jupyter": {},
    "notebookId": "6475f15b87e80c34bf03eccf",
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "电影\n",
       "喜羊羊与灰太狼之筐出未来     103791\n",
       "四海               345783\n",
       "奇迹·笨小孩           518373\n",
       "好想去你的世界爱你          5112\n",
       "小虎墩大英雄            41694\n",
       "带你去见我妈              150\n",
       "汪汪队立大功大电影          5420\n",
       "熊出没·重返地球         328317\n",
       "狙击手              285598\n",
       "独家头条                 97\n",
       "这个杀手不太冷静         735060\n",
       "长津湖之水门桥         1038390\n",
       "魔法满屋                220\n",
       "魔法精灵                158\n",
       "Name: 场次, dtype: int64"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "paipian_top.groupby('电影')['场次'].sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "F2E6A358EF6F46B9B5FAFD437276E74D",
    "jupyter": {},
    "mdEditEnable": false,
    "notebookId": "6475f15b87e80c34bf03eccf",
    "runtime": {
     "execution_status": null,
     "status": "default"
    },
    "scrolled": false,
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "## 春节档 - 排片地域分布 - 排片统计（累计场次）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "hide_input": true,
    "id": "9FF531A9774F40C4864AD7B8655B2BF3",
    "jupyter": {},
    "notebookId": "6475f15b87e80c34bf03eccf",
    "slideshow": {
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    "tags": []
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   "outputs": [
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       "            \"radius\": [\n",
       "                \"45\",\n",
       "                \"100\"\n",
       "            ],\n",
       "            \"center\": [\n",
       "                \"70%\",\n",
       "                \"40%\"\n",
       "            ],\n",
       "            \"label\": {\n",
       "                \"show\": true,\n",
       "                \"margin\": 8,\n",
       "                \"formatter\": \"{b}\\uff1a{c}  {d}%\"\n",
       "            },\n",
       "            \"labelLine\": {\n",
       "                \"show\": true,\n",
       "                \"showAbove\": false,\n",
       "                \"length\": 15,\n",
       "                \"length2\": 15,\n",
       "                \"smooth\": false,\n",
       "                \"minTurnAngle\": 90,\n",
       "                \"maxSurfaceAngle\": 90\n",
       "            },\n",
       "            \"rippleEffect\": {\n",
       "                \"show\": true,\n",
       "                \"brushType\": \"stroke\",\n",
       "                \"scale\": 2.5,\n",
       "                \"period\": 4\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"\\u4e00\\u7ebf\\u57ce\\u5e02\",\n",
       "                \"\\u4e8c\\u7ebf\\u57ce\\u5e02\",\n",
       "                \"\\u4e09\\u7ebf\\u57ce\\u5e02\",\n",
       "                \"\\u56db\\u7ebf\\u57ce\\u5e02\",\n",
       "                \"\\u4e94\\u7ebf\\u57ce\\u5e02\",\n",
       "                \"\\u559c\\u7f8a\\u7f8a\\u4e0e\\u7070\\u592a\\u72fc\\u4e4b\\u7b50\\u51fa\\u672a\\u6765\",\n",
       "                \"\\u56db\\u6d77\",\n",
       "                \"\\u5947\\u8ff9\\u00b7\\u7b28\\u5c0f\\u5b69\",\n",
       "                \"\\u597d\\u60f3\\u53bb\\u4f60\\u7684\\u4e16\\u754c\\u7231\\u4f60\",\n",
       "                \"\\u5c0f\\u864e\\u58a9\\u5927\\u82f1\\u96c4\",\n",
       "                \"\\u5e26\\u4f60\\u53bb\\u89c1\\u6211\\u5988\",\n",
       "                \"\\u6c6a\\u6c6a\\u961f\\u7acb\\u5927\\u529f\\u5927\\u7535\\u5f71\",\n",
       "                \"\\u718a\\u51fa\\u6ca1\\u00b7\\u91cd\\u8fd4\\u5730\\u7403\",\n",
       "                \"\\u72d9\\u51fb\\u624b\",\n",
       "                \"\\u72ec\\u5bb6\\u5934\\u6761\",\n",
       "                \"\\u8fd9\\u4e2a\\u6740\\u624b\\u4e0d\\u592a\\u51b7\\u9759\",\n",
       "                \"\\u957f\\u6d25\\u6e56\\u4e4b\\u6c34\\u95e8\\u6865\",\n",
       "                \"\\u9b54\\u6cd5\\u6ee1\\u5c4b\",\n",
       "                \"\\u9b54\\u6cd5\\u7cbe\\u7075\"\n",
       "            ],\n",
       "            \"selected\": {\n",
       "                \"\\u4e00\\u7ebf\\u57ce\\u5e02\": true,\n",
       "                \"\\u4e8c\\u7ebf\\u57ce\\u5e02\": true,\n",
       "                \"\\u4e09\\u7ebf\\u57ce\\u5e02\": true,\n",
       "                \"\\u56db\\u7ebf\\u57ce\\u5e02\": true,\n",
       "                \"\\u4e94\\u7ebf\\u57ce\\u5e02\": true\n",
       "            },\n",
       "            \"show\": false,\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"itemWidth\": 25,\n",
       "            \"itemHeight\": 14,\n",
       "            \"backgroundColor\": \"transparent\",\n",
       "            \"borderColor\": \"#ccc\",\n",
       "            \"borderWidth\": 1,\n",
       "            \"borderRadius\": 0,\n",
       "            \"pageButtonItemGap\": 5,\n",
       "            \"pageButtonPosition\": \"end\",\n",
       "            \"pageFormatter\": \"{current}/{total}\",\n",
       "            \"pageIconColor\": \"#2f4554\",\n",
       "            \"pageIconInactiveColor\": \"#aaa\",\n",
       "            \"pageIconSize\": 15,\n",
       "            \"animationDurationUpdate\": 800,\n",
       "            \"selector\": false,\n",
       "            \"selectorPosition\": \"auto\",\n",
       "            \"selectorItemGap\": 7,\n",
       "            \"selectorButtonGap\": 10\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"axis\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"shadow\"\n",
       "        },\n",
       "        \"showContent\": true,\n",
       "        \"alwaysShowContent\": false,\n",
       "        \"showDelay\": 0,\n",
       "        \"hideDelay\": 100,\n",
       "        \"enterable\": false,\n",
       "        \"confine\": false,\n",
       "        \"appendToBody\": false,\n",
       "        \"transitionDuration\": 0.4,\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0,\n",
       "        \"padding\": 5,\n",
       "        \"order\": \"seriesAsc\"\n",
       "    },\n",
       "    \"xAxis\": [\n",
       "        {\n",
       "            \"type\": \"value\",\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"middle\",\n",
       "            \"nameGap\": 70,\n",
       "            \"gridIndex\": 0,\n",
       "            \"axisLine\": {\n",
       "                \"show\": false,\n",
       "                \"onZero\": true,\n",
       "                \"onZeroAxisIndex\": 0\n",
       "            },\n",
       "            \"axisTick\": {\n",
       "                \"show\": false,\n",
       "                \"alignWithLabel\": false,\n",
       "                \"inside\": false\n",
       "            },\n",
       "            \"axisLabel\": {\n",
       "                \"show\": true,\n",
       "                \"margin\": 8,\n",
       "                \"formatter\": \"{value}\"\n",
       "            },\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": true,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"type\": \"category\",\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": true,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            },\n",
       "            \"data\": [\n",
       "                \"\\u957f\\u6d25\\u6e56\\u4e4b\\u6c34\\u95e8\\u6865\",\n",
       "                \"\\u8fd9\\u4e2a\\u6740\\u624b\\u4e0d\\u592a\\u51b7\\u9759\",\n",
       "                \"\\u5947\\u8ff9\\u00b7\\u7b28\\u5c0f\\u5b69\",\n",
       "                \"\\u56db\\u6d77\",\n",
       "                \"\\u72d9\\u51fb\\u624b\",\n",
       "                \"\\u718a\\u51fa\\u6ca1\\u00b7\\u91cd\\u8fd4\\u5730\\u7403\",\n",
       "                \"\\u559c\\u7f8a\\u7f8a\\u4e0e\\u7070\\u592a\\u72fc\\u4e4b\\u7b50\\u51fa\\u672a\\u6765\",\n",
       "                \"\\u5c0f\\u864e\\u58a9\\u5927\\u82f1\\u96c4\",\n",
       "                \"\\u6c6a\\u6c6a\\u961f\\u7acb\\u5927\\u529f\\u5927\\u7535\\u5f71\",\n",
       "                \"\\u597d\\u60f3\\u53bb\\u4f60\\u7684\\u4e16\\u754c\\u7231\\u4f60\"\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"\\u6625\\u8282\\u6863 - \\u6392\\u7247\\u5730\\u57df\\u5206\\u5e03\\uff08\\u7d2f\\u8ba1\\u573a\\u6b21\\uff09\",\n",
       "            \"left\": \"left\",\n",
       "            \"textStyle\": {\n",
       "                \"color\": \"#000\",\n",
       "                \"fontSize\": 20\n",
       "            }\n",
       "        },\n",
       "        {\n",
       "            \"text\": \"\\u6625\\u8282\\u6863 - \\u6392\\u7247\\u7edf\\u8ba1\\uff08\\u7d2f\\u8ba1\\u573a\\u6b21\\uff09\",\n",
       "            \"left\": \"60%\",\n",
       "            \"top\": \"10%\",\n",
       "            \"textStyle\": {\n",
       "                \"color\": \"#000\",\n",
       "                \"fontSize\": 16\n",
       "            }\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_cbb1fb810e8d47759cc437d8cef9d725.setOption(option_cbb1fb810e8d47759cc437d8cef9d725);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x17597ddc1c0>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bar_diyu = (\n",
    "    Bar(init_opts=opts.InitOpts(width=\"1200px\", height=\"600px\", theme='light')) # 设置图表大小\n",
    "    .add_xaxis(xaxis_data=move_top_10['电影'].tolist())  # x轴\n",
    "    .add_yaxis(\n",
    "        series_name=\"一线城市\",  #柱形图系列名称\n",
    "        stack='stack1',\n",
    "        y_axis=move_top_10['一线城市场次'].tolist(), # 数据\n",
    "        label_opts=opts.LabelOpts(is_show=False,position='top',formatter=\"{c}\"), # 显示数据标签\n",
    "        itemstyle_opts=opts.ItemStyleOpts(color=\"#8e97e2\",opacity=0.8),     # 柱形图颜色及透明度  \n",
    "        )\n",
    "    .add_yaxis(\n",
    "        series_name=\"二线城市\",  #柱形图系列名称\n",
    "        stack='stack1',\n",
    "        y_axis=move_top_10['二线城市场次'].tolist(), # 数据\n",
    "        label_opts=opts.LabelOpts(is_show=False,position='top',formatter=\"{c}\"), # 显示数据标签\n",
    "        itemstyle_opts=opts.ItemStyleOpts(color=\"#ed9b9b\",opacity=0.8),     # 柱形图颜色及透明度  \n",
    "        )\n",
    "    .add_yaxis(\n",
    "        series_name=\"三线城市\",  #柱形图系列名称\n",
    "        stack='stack1',\n",
    "        y_axis=move_top_10['三线城市场次'].tolist(), # 数据\n",
    "        label_opts=opts.LabelOpts(is_show=False,position='top',formatter=\"{c}\"), # 显示数据标签\n",
    "        itemstyle_opts=opts.ItemStyleOpts(color=\"#4fc0cc\",opacity=0.8),     # 柱形图颜色及透明度  \n",
    "        )\n",
    "    .add_yaxis(\n",
    "        series_name=\"四线城市\",  #柱形图系列名称\n",
    "        stack='stack1',\n",
    "        y_axis=move_top_10['四线城市场次'].tolist(), # 数据\n",
    "        label_opts=opts.LabelOpts(is_show=False,position='top',formatter=\"{c}\"), # 显示数据标签\n",
    "        itemstyle_opts=opts.ItemStyleOpts(color=\"#f7ce8f\",opacity=0.8),     # 柱形图颜色及透明度  \n",
    "        )\n",
    "    .add_yaxis(\n",
    "        series_name=\"五线城市\",  #柱形图系列名称\n",
    "        stack='stack1',\n",
    "        y_axis=move_top_10['五线城市场次'].tolist(), # 数据\n",
    "        label_opts=opts.LabelOpts(is_show=False,position='top',formatter=\"{c}\"), # 显示数据标签\n",
    "        itemstyle_opts=opts.ItemStyleOpts(color=\"#7fa7c1\",opacity=0.8),     # 柱形图颜色及透明度  \n",
    "        )\n",
    "    .reversal_axis()\n",
    "    # .set_series_opts(label_opts=opts.LabelOpts(position=\"right\"))\n",
    "    .set_global_opts(title_opts=[\n",
    "            dict(\n",
    "                text='春节档 - 排片地域分布（累计场次）',\n",
    "                left='left',\n",
    "                textStyle=dict(\n",
    "                    color='#000',\n",
    "                    fontSize=20)),\n",
    "            dict(\n",
    "                text='春节档 - 排片统计（累计场次）',\n",
    "                left='60%',\n",
    "                top='10%',\n",
    "                textStyle=dict(\n",
    "                    color='#000',\n",
    "                    fontSize=16)),\n",
    "        ],\n",
    "                    legend_opts=opts.LegendOpts(\n",
    "                                             is_show=False,),  # 不显示图例\n",
    "                    tooltip_opts=opts.TooltipOpts(\n",
    "                                             trigger=\"axis\",\n",
    "                                             axis_pointer_type=\"shadow\"\n",
    "                                             ),# 提示框\n",
    "                    yaxis_opts=opts.AxisOpts(name='',\n",
    "                                            type_='category',                                           \n",
    "                                            #    axislabel_opts=opts.LabelOpts(rotate=30),\n",
    "                                               ),\n",
    "                     xaxis_opts=opts.AxisOpts(type_=\"value\", # y轴类型\n",
    "                                            #   max_=5000000,\n",
    "                                              name='', # y轴名称\n",
    "                                              name_location='middle', # y轴名称位置\n",
    "                                              name_gap=70,  # y轴名称距离轴线距离\n",
    "                                              axistick_opts=opts.AxisTickOpts(is_show=False),   # 刻度线\n",
    "                                              axisline_opts=opts.AxisLineOpts(is_show=False),   # y轴线\n",
    "                                              splitline_opts=opts.SplitLineOpts(is_show=True),   # y轴网格线\n",
    "                                              axislabel_opts=opts.LabelOpts(formatter=\"{value}\")), # 轴标签显示方式\n",
    "                                               )\n",
    ")\n",
    "pie = (Pie(init_opts=opts.InitOpts(theme='light'))\n",
    "    .add('', [list(z) for z in zip(paipian_top.groupby('电影')['场次'].sum().index.tolist(), \n",
    "        paipian_top.groupby('电影')['场次'].sum().values.tolist())],radius=['45','100'],center=['70%','40%'])\n",
    "    .set_series_opts(label_opts=opts.LabelOpts(formatter='{b}：{c}  {d}%'))\n",
    "    .set_global_opts(legend_opts=opts.LegendOpts(is_show=False))\n",
    "    )\n",
    "bar_diyu.overlap(pie)\n",
    "bar_diyu.render_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "3E4336A830A24F6E9EC821406A7A13C2",
    "jupyter": {},
    "mdEditEnable": false,
    "notebookId": "6475f15b87e80c34bf03eccf",
    "runtime": {
     "execution_status": null,
     "status": "default"
    },
    "scrolled": false,
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "source": [
    "## 春节档 - 排片地域分布 - 排片统计（每日趋势变化轮播图）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "hide_input": true,
    "id": "342FAC67DDB04638A772A8F84DF0A651",
    "jupyter": {},
    "notebookId": "6475f15b87e80c34bf03eccf",
    "slideshow": {
     "slide_type": "slide"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/v5/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"d74f499f3f3b42b698b7e845f62d49fb\" style=\"width:1200px; height:600px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts'], function(echarts) {\n",
       "                var chart_d74f499f3f3b42b698b7e845f62d49fb = echarts.init(\n",
       "                    document.getElementById('d74f499f3f3b42b698b7e845f62d49fb'), 'light', {renderer: 'canvas'});\n",
       "                var option_d74f499f3f3b42b698b7e845f62d49fb = {\n",
       "    \"baseOption\": {\n",
       "        \"series\": [\n",
       "            {\n",
       "                \"type\": \"bar\",\n",
       "                \"name\": \"\\u4e00\\u7ebf\\u57ce\\u5e02\",\n",
       "                \"legendHoverLink\": true,\n",
       "                \"data\": [\n",
       "                    13268,\n",
       "                    10682,\n",
       "                    6254,\n",
       "                    3732,\n",
       "                    5749,\n",
       "                    2628,\n",
       "                    1327,\n",
       "                    503,\n",
       "                    255,\n",
       "                    87\n",
       "                ],\n",
       "                \"realtimeSort\": false,\n",
       "                \"showBackground\": false,\n",
       "                \"stack\": \"stack1\",\n",
       "                \"stackStrategy\": \"samesign\",\n",
       "                \"cursor\": \"pointer\",\n",
       "                \"barMinHeight\": 0,\n",
       "                \"barCategoryGap\": \"20%\",\n",
       "                \"barGap\": \"30%\",\n",
       "                \"large\": false,\n",
       "                \"largeThreshold\": 400,\n",
       "                \"seriesLayoutBy\": \"column\",\n",
       "                \"datasetIndex\": 0,\n",
       "                \"clip\": true,\n",
       "                \"zlevel\": 0,\n",
       "                \"z\": 2,\n",
       "                \"label\": {\n",
       "                    \"show\": false,\n",
       "                    \"position\": \"top\",\n",
       "                    \"margin\": 8,\n",
       "                    \"formatter\": \"{c}\"\n",
       "                },\n",
       "                \"itemStyle\": {\n",
       "                    \"color\": \"#8e97e2\",\n",
       "                    \"opacity\": 0.8\n",
       "                }\n",
       "            },\n",
       "            {\n",
       "                \"type\": \"bar\",\n",
       "                \"name\": \"\\u4e8c\\u7ebf\\u57ce\\u5e02\",\n",
       "                \"legendHoverLink\": true,\n",
       "                \"data\": [\n",
       "                    48225,\n",
       "                    39082,\n",
       "                    22077,\n",
       "                    15566,\n",
       "                    17389,\n",
       "                    8251,\n",
       "                    4911,\n",
       "                    1484,\n",
       "                    654,\n",
       "                    86\n",
       "                ],\n",
       "                \"realtimeSort\": false,\n",
       "                \"showBackground\": false,\n",
       "                \"stack\": \"stack1\",\n",
       "                \"stackStrategy\": \"samesign\",\n",
       "                \"cursor\": \"pointer\",\n",
       "                \"barMinHeight\": 0,\n",
       "                \"barCategoryGap\": \"20%\",\n",
       "                \"barGap\": \"30%\",\n",
       "                \"large\": false,\n",
       "                \"largeThreshold\": 400,\n",
       "                \"seriesLayoutBy\": \"column\",\n",
       "                \"datasetIndex\": 0,\n",
       "                \"clip\": true,\n",
       "                \"zlevel\": 0,\n",
       "                \"z\": 2,\n",
       "                \"label\": {\n",
       "                    \"show\": false,\n",
       "                    \"position\": \"top\",\n",
       "                    \"margin\": 8,\n",
       "                    \"formatter\": \"{c}\"\n",
       "                },\n",
       "                \"itemStyle\": {\n",
       "                    \"color\": \"#ed9b9b\",\n",
       "                    \"opacity\": 0.8\n",
       "                }\n",
       "            },\n",
       "            {\n",
       "                \"type\": \"bar\",\n",
       "                \"name\": \"\\u4e09\\u7ebf\\u57ce\\u5e02\",\n",
       "                \"legendHoverLink\": true,\n",
       "                \"data\": [\n",
       "                    240544,\n",
       "                    174082,\n",
       "                    117773,\n",
       "                    83216,\n",
       "                    61403,\n",
       "                    78934,\n",
       "                    24441,\n",
       "                    8826,\n",
       "                    881,\n",
       "                    32\n",
       "                ],\n",
       "                \"realtimeSort\": false,\n",
       "                \"showBackground\": false,\n",
       "                \"stack\": \"stack1\",\n",
       "                \"stackStrategy\": \"samesign\",\n",
       "                \"cursor\": \"pointer\",\n",
       "                \"barMinHeight\": 0,\n",
       "                \"barCategoryGap\": \"20%\",\n",
       "                \"barGap\": \"30%\",\n",
       "                \"large\": false,\n",
       "                \"largeThreshold\": 400,\n",
       "                \"seriesLayoutBy\": \"column\",\n",
       "                \"datasetIndex\": 0,\n",
       "                \"clip\": true,\n",
       "                \"zlevel\": 0,\n",
       "                \"z\": 2,\n",
       "                \"label\": {\n",
       "                    \"show\": false,\n",
       "                    \"position\": \"top\",\n",
       "                    \"margin\": 8,\n",
       "                    \"formatter\": \"{c}\"\n",
       "                },\n",
       "                \"itemStyle\": {\n",
       "                    \"color\": \"#4fc0cc\",\n",
       "                    \"opacity\": 0.8\n",
       "                }\n",
       "            },\n",
       "            {\n",
       "                \"type\": \"bar\",\n",
       "                \"name\": \"\\u56db\\u7ebf\\u57ce\\u5e02\",\n",
       "                \"legendHoverLink\": true,\n",
       "                \"data\": [\n",
       "                    222869,\n",
       "                    161984,\n",
       "                    115099,\n",
       "                    74974,\n",
       "                    52186,\n",
       "                    75835,\n",
       "                    22786,\n",
       "                    9003,\n",
       "                    370,\n",
       "                    8\n",
       "                ],\n",
       "                \"realtimeSort\": false,\n",
       "                \"showBackground\": false,\n",
       "                \"stack\": \"stack1\",\n",
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       "                    \"selectorButtonGap\": 10\n",
       "                }\n",
       "            ],\n",
       "            \"series\": [\n",
       "                {\n",
       "                    \"type\": \"bar\",\n",
       "                    \"name\": \"\\u4e00\\u7ebf\\u57ce\\u5e02\",\n",
       "                    \"legendHoverLink\": true,\n",
       "                    \"data\": [\n",
       "                        13268,\n",
       "                        10682,\n",
       "                        6254,\n",
       "                        3732,\n",
       "                        5749,\n",
       "                        2628,\n",
       "                        1327,\n",
       "                        503,\n",
       "                        255,\n",
       "                        87\n",
       "                    ],\n",
       "                    \"realtimeSort\": false,\n",
       "                    \"showBackground\": false,\n",
       "                    \"stack\": \"stack1\",\n",
       "                    \"stackStrategy\": \"samesign\",\n",
       "                    \"cursor\": \"pointer\",\n",
       "                    \"barMinHeight\": 0,\n",
       "                    \"barCategoryGap\": \"20%\",\n",
       "                    \"barGap\": \"30%\",\n",
       "                    \"large\": false,\n",
       "                    \"largeThreshold\": 400,\n",
       "                    \"seriesLayoutBy\": \"column\",\n",
       "                    \"datasetIndex\": 0,\n",
       "                    \"clip\": true,\n",
       "                    \"zlevel\": 0,\n",
       "                    \"z\": 2,\n",
       "                    \"label\": {\n",
       "                        \"show\": false,\n",
       "                        \"position\": \"top\",\n",
       "                        \"margin\": 8,\n",
       "                        \"formatter\": \"{c}\"\n",
       "                    },\n",
       "                    \"itemStyle\": {\n",
       "                        \"color\": \"#8e97e2\",\n",
       "                        \"opacity\": 0.8\n",
       "                    }\n",
       "                },\n",
       "                {\n",
       "                    \"type\": \"bar\",\n",
       "                    \"name\": \"\\u4e8c\\u7ebf\\u57ce\\u5e02\",\n",
       "                    \"legendHoverLink\": true,\n",
       "                    \"data\": [\n",
       "                        48225,\n",
       "                        39082,\n",
       "                        22077,\n",
       "                        15566,\n",
       "                        17389,\n",
       "                        8251,\n",
       "                        4911,\n",
       "                        1484,\n",
       "                        654,\n",
       "                        86\n",
       "                    ],\n",
       "                    \"realtimeSort\": false,\n",
       "                    \"showBackground\": false,\n",
       "                    \"stack\": \"stack1\",\n",
       "                    \"stackStrategy\": \"samesign\",\n",
       "                    \"cursor\": \"pointer\",\n",
       "                    \"barMinHeight\": 0,\n",
       "                    \"barCategoryGap\": \"20%\",\n",
       "                    \"barGap\": \"30%\",\n",
       "                    \"large\": false,\n",
       "                    \"largeThreshold\": 400,\n",
       "                    \"seriesLayoutBy\": \"column\",\n",
       "                    \"datasetIndex\": 0,\n",
       "                    \"clip\": true,\n",
       "                    \"zlevel\": 0,\n",
       "                    \"z\": 2,\n",
       "                    \"label\": {\n",
       "                        \"show\": false,\n",
       "                        \"position\": \"top\",\n",
       "                        \"margin\": 8,\n",
       "                        \"formatter\": \"{c}\"\n",
       "                    },\n",
       "                    \"itemStyle\": {\n",
       "                        \"color\": \"#ed9b9b\",\n",
       "                        \"opacity\": 0.8\n",
       "                    }\n",
       "                },\n",
       "                {\n",
       "                    \"type\": \"bar\",\n",
       "                    \"name\": \"\\u4e09\\u7ebf\\u57ce\\u5e02\",\n",
       "                    \"legendHoverLink\": true,\n",
       "                    \"data\": [\n",
       "                        240544,\n",
       "                        174082,\n",
       "                        117773,\n",
       "                        83216,\n",
       "                        61403,\n",
       "                        78934,\n",
       "                        24441,\n",
       "                        8826,\n",
       "                        881,\n",
       "                        32\n",
       "                    ],\n",
       "                    \"realtimeSort\": false,\n",
       "                    \"showBackground\": false,\n",
       "                    \"stack\": \"stack1\",\n",
       "                    \"stackStrategy\": \"samesign\",\n",
       "                    \"cursor\": \"pointer\",\n",
       "                    \"barMinHeight\": 0,\n",
       "                    \"barCategoryGap\": \"20%\",\n",
       "                    \"barGap\": \"30%\",\n",
       "                    \"large\": false,\n",
       "                    \"largeThreshold\": 400,\n",
       "                    \"seriesLayoutBy\": \"column\",\n",
       "                    \"datasetIndex\": 0,\n",
       "                    \"clip\": true,\n",
       "                    \"zlevel\": 0,\n",
       "                    \"z\": 2,\n",
       "                    \"label\": {\n",
       "                        \"show\": false,\n",
       "                        \"position\": \"top\",\n",
       "                        \"margin\": 8,\n",
       "                        \"formatter\": \"{c}\"\n",
       "                    },\n",
       "                    \"itemStyle\": {\n",
       "                        \"color\": \"#4fc0cc\",\n",
       "                        \"opacity\": 0.8\n",
       "                    }\n",
       "                },\n",
       "                {\n",
       "                    \"type\": \"bar\",\n",
       "                    \"name\": \"\\u56db\\u7ebf\\u57ce\\u5e02\",\n",
       "                    \"legendHoverLink\": true,\n",
       "                    \"data\": [\n",
       "                        222869,\n",
       "                        161984,\n",
       "                        115099,\n",
       "                        74974,\n",
       "                        52186,\n",
       "                        75835,\n",
       "                        22786,\n",
       "                        9003,\n",
       "                        370,\n",
       "                        8\n",
       "                    ],\n",
       "                    \"realtimeSort\": false,\n",
       "                    \"showBackground\": false,\n",
       "                    \"stack\": \"stack1\",\n",
       "                    \"stackStrategy\": \"samesign\",\n",
       "                    \"cursor\": \"pointer\",\n",
       "                    \"barMinHeight\": 0,\n",
       "                    \"barCategoryGap\": \"20%\",\n",
       "                    \"barGap\": \"30%\",\n",
       "                    \"large\": false,\n",
       "                    \"largeThreshold\": 400,\n",
       "                    \"seriesLayoutBy\": \"column\",\n",
       "                    \"datasetIndex\": 0,\n",
       "                    \"clip\": true,\n",
       "                    \"zlevel\": 0,\n",
       "                    \"z\": 2,\n",
       "                    \"label\": {\n",
       "                        \"show\": false,\n",
       "                        \"position\": \"top\",\n",
       "                        \"margin\": 8,\n",
       "                        \"formatter\": \"{c}\"\n",
       "                    },\n",
       "                    \"itemStyle\": {\n",
       "                        \"color\": \"#f7ce8f\",\n",
       "                        \"opacity\": 0.8\n",
       "                    }\n",
       "                },\n",
       "                {\n",
       "                    \"type\": \"bar\",\n",
       "                    \"name\": \"\\u4e94\\u7ebf\\u57ce\\u5e02\",\n",
       "                    \"legendHoverLink\": true,\n",
       "                    \"data\": [\n",
       "                        113999,\n",
       "                        79804,\n",
       "                        58419,\n",
       "                        37094,\n",
       "                        30055,\n",
       "                        38944,\n",
       "                        11680,\n",
       "                        5254,\n",
       "                        101,\n",
       "                        7\n",
       "                    ],\n",
       "                    \"realtimeSort\": false,\n",
       "                    \"showBackground\": false,\n",
       "                    \"stack\": \"stack1\",\n",
       "                    \"stackStrategy\": \"samesign\",\n",
       "                    \"cursor\": \"pointer\",\n",
       "                    \"barMinHeight\": 0,\n",
       "                    \"barCategoryGap\": \"20%\",\n",
       "                    \"barGap\": \"30%\",\n",
       "                    \"large\": false,\n",
       "                    \"largeThreshold\": 400,\n",
       "                    \"seriesLayoutBy\": \"column\",\n",
       "                    \"datasetIndex\": 0,\n",
       "                    \"clip\": true,\n",
       "                    \"zlevel\": 0,\n",
       "                    \"z\": 2,\n",
       "                    \"label\": {\n",
       "                        \"show\": false,\n",
       "                        \"position\": \"top\",\n",
       "                        \"margin\": 8,\n",
       "                        \"formatter\": \"{c}\"\n",
       "                    },\n",
       "                    \"itemStyle\": {\n",
       "                        \"color\": \"#7fa7c1\",\n",
       "                        \"opacity\": 0.8\n",
       "                    }\n",
       "                },\n",
       "                {\n",
       "                    \"type\": \"pie\",\n",
       "                    \"colorBy\": \"data\",\n",
       "                    \"legendHoverLink\": true,\n",
       "                    \"selectedMode\": false,\n",
       "                    \"selectedOffset\": 10,\n",
       "                    \"clockwise\": true,\n",
       "                    \"startAngle\": 90,\n",
       "                    \"minAngle\": 0,\n",
       "                    \"minShowLabelAngle\": 0,\n",
       "                    \"avoidLabelOverlap\": true,\n",
       "                    \"stillShowZeroSum\": true,\n",
       "                    \"percentPrecision\": 2,\n",
       "                    \"showEmptyCircle\": true,\n",
       "                    \"emptyCircleStyle\": {\n",
       "                        \"color\": \"lightgray\",\n",
       "                        \"borderColor\": \"#000\",\n",
       "                        \"borderWidth\": 0,\n",
       "                        \"borderType\": \"solid\",\n",
       "                        \"borderDashOffset\": 0,\n",
       "                        \"borderCap\": \"butt\",\n",
       "                        \"borderJoin\": \"bevel\",\n",
       "                        \"borderMiterLimit\": 10,\n",
       "                        \"opacity\": 1\n",
       "                    },\n",
       "                    \"data\": [\n",
       "                        {\n",
       "                            \"name\": \"\\u957f\\u6d25\\u6e56\\u4e4b\\u6c34\\u95e8\\u6865\",\n",
       "                            \"value\": 138828\n",
       "                        },\n",
       "                        {\n",
       "                            \"name\": \"\\u8fd9\\u4e2a\\u6740\\u624b\\u4e0d\\u592a\\u51b7\\u9759\",\n",
       "                            \"value\": 113996\n",
       "                        },\n",
       "                        {\n",
       "                            \"name\": \"\\u5947\\u8ff9\\u00b7\\u7b28\\u5c0f\\u5b69\",\n",
       "                            \"value\": 66249\n",
       "                        },\n",
       "                        {\n",
       "                            \"name\": \"\\u718a\\u51fa\\u6ca1\\u00b7\\u91cd\\u8fd4\\u5730\\u7403\",\n",
       "                            \"value\": 48123\n",
       "                        },\n",
       "                        {\n",
       "                            \"name\": \"\\u72d9\\u51fb\\u624b\",\n",
       "                            \"value\": 44848\n",
       "                        },\n",
       "                        {\n",
       "                            \"name\": \"\\u56db\\u6d77\",\n",
       "                            \"value\": 24454\n",
       "                        },\n",
       "                        {\n",
       "                            \"name\": \"\\u559c\\u7f8a\\u7f8a\\u4e0e\\u7070\\u592a\\u72fc\\u4e4b\\u7b50\\u51fa\\u672a\\u6765\",\n",
       "                            \"value\": 14240\n",
       "                        },\n",
       "                        {\n",
       "                            \"name\": \"\\u5c0f\\u864e\\u58a9\\u5927\\u82f1\\u96c4\",\n",
       "                            \"value\": 4347\n",
       "                        },\n",
       "                        {\n",
       "                            \"name\": \"\\u6c6a\\u6c6a\\u961f\\u7acb\\u5927\\u529f\\u5927\\u7535\\u5f71\",\n",
       "                            \"value\": 1226\n",
       "                        },\n",
       "                        {\n",
       "                            \"name\": \"\\u9b54\\u6cd5\\u6ee1\\u5c4b\",\n",
       "                            \"value\": 220\n",
       "                        }\n",
       "                    ],\n",
       "                    \"radius\": [\n",
       "                        \"45\",\n",
       "                        \"100\"\n",
       "                    ],\n",
       "                    \"center\": [\n",
       "                        \"70%\",\n",
       "                        \"40%\"\n",
       "                    ],\n",
       "                    \"label\": {\n",
       "                        \"show\": true,\n",
       "                        \"margin\": 8,\n",
       "                        \"formatter\": \"{b}\\uff1a{c}  {d}%\"\n",
       "                    },\n",
       "                    \"labelLine\": {\n",
       "                        \"show\": true,\n",
       "                        \"showAbove\": false,\n",
       "                        \"length\": 15,\n",
       "                        \"length2\": 15,\n",
       "                        \"smooth\": false,\n",
       "                        \"minTurnAngle\": 90,\n",
       "                        \"maxSurfaceAngle\": 90\n",
       "                    },\n",
       "                    \"rippleEffect\": {\n",
       "                        \"show\": true,\n",
       "                        \"brushType\": \"stroke\",\n",
       "                        \"scale\": 2.5,\n",
       "                        \"period\": 4\n",
       "                    }\n",
       "                }\n",
       "            ],\n",
       "            \"xAxis\": [\n",
       "                {\n",
       "                    \"type\": \"value\",\n",
       "                    \"show\": true,\n",
       "                    \"scale\": false,\n",
       "                    \"nameLocation\": \"middle\",\n",
       "                    \"nameGap\": 70,\n",
       "                    \"gridIndex\": 0,\n",
       "                    \"axisLine\": {\n",
       "                        \"show\": false,\n",
       "                        \"onZero\": true,\n",
       "                        \"onZeroAxisIndex\": 0\n",
       "                    },\n",
       "                    \"axisTick\": {\n",
       "                        \"show\": false,\n",
       "                        \"alignWithLabel\": false,\n",
       "                        \"inside\": false\n",
       "                    },\n",
       "                    \"axisLabel\": {\n",
       "                        \"show\": true,\n",
       "                        \"margin\": 8,\n",
       "                        \"formatter\": \"{value}\"\n",
       "                    },\n",
       "                    \"inverse\": false,\n",
       "                    \"offset\": 0,\n",
       "                    \"splitNumber\": 5,\n",
       "                    \"minInterval\": 0,\n",
       "                    \"splitLine\": {\n",
       "                        \"show\": true,\n",
       "                        \"lineStyle\": {\n",
       "                            \"show\": true,\n",
       "                            \"width\": 1,\n",
       "                            \"opacity\": 1,\n",
       "                            \"curveness\": 0,\n",
       "                            \"type\": \"solid\"\n",
       "                        }\n",
       "                    }\n",
       "                }\n",
       "            ],\n",
       "            \"yAxis\": [\n",
       "                {\n",
       "                    \"type\": \"category\",\n",
       "                    \"show\": true,\n",
       "                    \"scale\": false,\n",
       "                    \"nameLocation\": \"end\",\n",
       "                    \"nameGap\": 15,\n",
       "                    \"gridIndex\": 0,\n",
       "                    \"inverse\": false,\n",
       "                    \"offset\": 0,\n",
       "                    \"splitNumber\": 5,\n",
       "                    \"minInterval\": 0,\n",
       "                    \"splitLine\": {\n",
       "                        \"show\": true,\n",
       "                        \"lineStyle\": {\n",
       "                            \"show\": true,\n",
       "                            \"width\": 1,\n",
       "                            \"opacity\": 1,\n",
       "                            \"curveness\": 0,\n",
       "                            \"type\": \"solid\"\n",
       "                        }\n",
       "                    },\n",
       "                    \"data\": [\n",
       "                        \"\\u957f\\u6d25\\u6e56\\u4e4b\\u6c34\\u95e8\\u6865\",\n",
       "                        \"\\u8fd9\\u4e2a\\u6740\\u624b\\u4e0d\\u592a\\u51b7\\u9759\",\n",
       "                        \"\\u5947\\u8ff9\\u00b7\\u7b28\\u5c0f\\u5b69\",\n",
       "                        \"\\u718a\\u51fa\\u6ca1\\u00b7\\u91cd\\u8fd4\\u5730\\u7403\",\n",
       "                        \"\\u72d9\\u51fb\\u624b\",\n",
       "                        \"\\u56db\\u6d77\",\n",
       "                        \"\\u559c\\u7f8a\\u7f8a\\u4e0e\\u7070\\u592a\\u72fc\\u4e4b\\u7b50\\u51fa\\u672a\\u6765\",\n",
       "                        \"\\u5c0f\\u864e\\u58a9\\u5927\\u82f1\\u96c4\",\n",
       "                        \"\\u6c6a\\u6c6a\\u961f\\u7acb\\u5927\\u529f\\u5927\\u7535\\u5f71\",\n",
       "                        \"\\u9b54\\u6cd5\\u6ee1\\u5c4b\"\n",
       "                    ]\n",
       "                }\n",
       "            ],\n",
       "            \"title\": [\n",
       "                {\n",
       "                    \"text\": \"2022-02-06 - \\u6392\\u7247\\u5730\\u57df\\u5206\\u5e03\\uff08\\u573a\\u6b21\\uff09- \\u6625\\u8282\\u6863\",\n",
       "                    \"left\": \"left\",\n",
       "                    \"textStyle\": {\n",
       "                        \"color\": \"#000\",\n",
       "                        \"fontSize\": 20\n",
       "                    }\n",
       "                },\n",
       "                {\n",
       "                    \"text\": \"2022-02-06 - \\u6392\\u7247\\u7edf\\u8ba1\\uff08\\u573a\\u6b21\\uff09- \\u6625\\u8282\\u6863\",\n",
       "                    \"left\": \"60%\",\n",
       "                    \"top\": \"10%\",\n",
       "                    \"textStyle\": {\n",
       "                        \"color\": \"#000\",\n",
       "                        \"fontSize\": 16\n",
       "                    }\n",
       "                }\n",
       "            ],\n",
       "            \"tooltip\": {\n",
       "                \"show\": true,\n",
       "                \"trigger\": \"axis\",\n",
       "                \"triggerOn\": \"mousemove|click\",\n",
       "                \"axisPointer\": {\n",
       "                    \"type\": \"shadow\"\n",
       "                },\n",
       "                \"showContent\": true,\n",
       "                \"alwaysShowContent\": false,\n",
       "                \"showDelay\": 0,\n",
       "                \"hideDelay\": 100,\n",
       "                \"enterable\": false,\n",
       "                \"confine\": false,\n",
       "                \"appendToBody\": false,\n",
       "                \"transitionDuration\": 0.4,\n",
       "                \"textStyle\": {\n",
       "                    \"fontSize\": 14\n",
       "                },\n",
       "                \"borderWidth\": 0,\n",
       "                \"padding\": 5,\n",
       "                \"order\": \"seriesAsc\"\n",
       "            },\n",
       "            \"color\": [\n",
       "                \"#5470c6\",\n",
       "                \"#91cc75\",\n",
       "                \"#fac858\",\n",
       "                \"#ee6666\",\n",
       "                \"#73c0de\",\n",
       "                \"#3ba272\",\n",
       "                \"#fc8452\",\n",
       "                \"#9a60b4\",\n",
       "                \"#ea7ccc\"\n",
       "            ]\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_d74f499f3f3b42b698b7e845f62d49fb.setOption(option_d74f499f3f3b42b698b7e845f62d49fb);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x17597c686a0>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t2 = Timeline(init_opts=opts.InitOpts(width=\"1200px\", height=\"600px\", theme='light'))\n",
    "t2.add_schema(is_auto_play=True, is_loop_play=True, is_timeline_show=False, play_interval=1000)\n",
    "\n",
    "for d in range(1,7):  # 指定多个月份\n",
    "    \n",
    "    one_city_movie = data_move_diyu[(data_move_diyu['城市'] == '一线城市') & (data_move_diyu['日期'] == f\"2022-02-0{d}\")]\n",
    "    two_city_movie = data_move_diyu[(data_move_diyu['城市'] == '二线城市') & (data_move_diyu['日期'] == f\"2022-02-0{d}\")]\n",
    "    three_city_movi = data_move_diyu[(data_move_diyu['城市'] == '三线城市') & (data_move_diyu['日期'] == f\"2022-02-0{d}\")]\n",
    "    four_city_movi = data_move_diyu[(data_move_diyu['城市'] == '四线城市') & (data_move_diyu['日期'] == f\"2022-02-0{d}\")]\n",
    "    five_city_movi = data_move_diyu[(data_move_diyu['城市'] == '五线城市') & (data_move_diyu['日期'] == f\"2022-02-0{d}\")]\n",
    "\n",
    "\n",
    "    one_city_movie = one_city_movie.rename(columns = {'场次': '一线城市场次'})\n",
    "    two_city_movie = two_city_movie.rename(columns = {'场次': '二线城市场次'})\n",
    "    three_city_movie = three_city_movie.rename(columns = {'场次': '三线城市场次'})\n",
    "    four_city_movie = four_city_movie.rename(columns = {'场次': '四线城市场次'})\n",
    "    five_city_movie = five_city_movie.rename(columns = {'场次': '五线城市场次'})\n",
    "\n",
    "    move_top_10 = one_city_movie.merge(two_city_movie, how='left', on='电影').fillna(0)\n",
    "    move_top_10 = move_top_10.merge(three_city_movie, how='left', on='电影').fillna(0)\n",
    "    move_top_10 = move_top_10.merge(four_city_movie, how='left', on='电影').fillna(0)\n",
    "    move_top_10 = move_top_10.merge(five_city_movie, how='left', on='电影').fillna(0)\n",
    "\n",
    "    move_top_10 = move_top_10.rename(columns={\"日期_x\": \"日期\", \"城市_x\": \"城市\"})\n",
    "\n",
    "    paipian = paipian_top[(paipian_top['日期'] == f\"2022-02-0{d}\")][:10]\n",
    "\n",
    "    bar_diyu_pie = (\n",
    "    Bar(init_opts=opts.InitOpts(width=\"1200px\", height=\"600px\")) # 设置图表大小\n",
    "        .add_xaxis(xaxis_data=move_top_10['电影'].tolist())  # x轴\n",
    "        .add_yaxis(\n",
    "                series_name=\"一线城市\",  #柱形图系列名称\n",
    "                stack='stack1',\n",
    "                y_axis=move_top_10['一线城市场次'].tolist(), # 数据\n",
    "                label_opts=opts.LabelOpts(is_show=False,position='top',formatter=\"{c}\"), # 显示数据标签\n",
    "                itemstyle_opts=opts.ItemStyleOpts(color=\"#8e97e2\",opacity=0.8),     # 柱形图颜色及透明度  \n",
    "                )\n",
    "        .add_yaxis(\n",
    "                series_name=\"二线城市\",  #柱形图系列名称\n",
    "                stack='stack1',\n",
    "                y_axis=move_top_10['二线城市场次'].tolist(), # 数据\n",
    "                label_opts=opts.LabelOpts(is_show=False,position='top',formatter=\"{c}\"), # 显示数据标签\n",
    "                itemstyle_opts=opts.ItemStyleOpts(color=\"#ed9b9b\",opacity=0.8),     # 柱形图颜色及透明度  \n",
    "                )\n",
    "        .add_yaxis(\n",
    "                series_name=\"三线城市\",  #柱形图系列名称\n",
    "                stack='stack1',\n",
    "                y_axis=move_top_10['三线城市场次'].tolist(), # 数据\n",
    "                label_opts=opts.LabelOpts(is_show=False,position='top',formatter=\"{c}\"), # 显示数据标签\n",
    "                itemstyle_opts=opts.ItemStyleOpts(color=\"#4fc0cc\",opacity=0.8),     # 柱形图颜色及透明度  \n",
    "                )\n",
    "        .add_yaxis(\n",
    "                series_name=\"四线城市\",  #柱形图系列名称\n",
    "                stack='stack1',\n",
    "                y_axis=move_top_10['四线城市场次'].tolist(), # 数据\n",
    "                label_opts=opts.LabelOpts(is_show=False,position='top',formatter=\"{c}\"), # 显示数据标签\n",
    "                itemstyle_opts=opts.ItemStyleOpts(color=\"#f7ce8f\",opacity=0.8),     # 柱形图颜色及透明度  \n",
    "                )\n",
    "        .add_yaxis(\n",
    "                series_name=\"五线城市\",  #柱形图系列名称\n",
    "                stack='stack1',\n",
    "                y_axis=move_top_10['五线城市场次'].tolist(), # 数据\n",
    "                label_opts=opts.LabelOpts(is_show=False,position='top',formatter=\"{c}\"), # 显示数据标签\n",
    "                itemstyle_opts=opts.ItemStyleOpts(color=\"#7fa7c1\",opacity=0.8),     # 柱形图颜色及透明度  \n",
    "                )\n",
    "        .reversal_axis()\n",
    "        # .set_series_opts(label_opts=opts.LabelOpts(position=\"right\"))\n",
    "        .set_global_opts(title_opts=[\n",
    "                dict(\n",
    "                        text=f'2022-02-0{d} - 排片地域分布（场次）- 春节档',\n",
    "                        left='left',\n",
    "                        textStyle=dict(\n",
    "                        color='#000',\n",
    "                        fontSize=20)),\n",
    "                dict(\n",
    "                        text=f'2022-02-0{d} - 排片统计（场次）- 春节档',\n",
    "                        left='60%',\n",
    "                        top='10%',\n",
    "                        textStyle=dict(\n",
    "                        color='#000',\n",
    "                        fontSize=16)),\n",
    "                ],\n",
    "                        legend_opts=opts.LegendOpts(\n",
    "                                                is_show=False,),  # 不显示图例\n",
    "                        tooltip_opts=opts.TooltipOpts(\n",
    "                                                trigger=\"axis\",\n",
    "                                                axis_pointer_type=\"shadow\"\n",
    "                                                ),# 提示框\n",
    "                        yaxis_opts=opts.AxisOpts(name='',\n",
    "                                                type_='category',                                           \n",
    "                                                #    axislabel_opts=opts.LabelOpts(rotate=30),\n",
    "                                                ),\n",
    "                        xaxis_opts=opts.AxisOpts(type_=\"value\", # y轴类型\n",
    "                                                #   max_=5000000,\n",
    "                                                name='', # y轴名称\n",
    "                                                name_location='middle', # y轴名称位置\n",
    "                                                name_gap=70,  # y轴名称距离轴线距离\n",
    "                                                axistick_opts=opts.AxisTickOpts(is_show=False),   # 刻度线\n",
    "                                                axisline_opts=opts.AxisLineOpts(is_show=False),   # y轴线\n",
    "                                                splitline_opts=opts.SplitLineOpts(is_show=True),   # y轴网格线\n",
    "                                                axislabel_opts=opts.LabelOpts(formatter=\"{value}\")), # 轴标签显示方式\n",
    "                                                )\n",
    "        )\n",
    "    pie = (Pie(init_opts=opts.InitOpts(theme='light'))\n",
    "        .add('', [list(z) for z in zip(paipian['电影'].tolist(), \n",
    "                paipian['场次'].tolist())],radius=['45','100'],center=['70%','40%'])\n",
    "        .set_series_opts(label_opts=opts.LabelOpts(formatter='{b}：{c}  {d}%'))\n",
    "        .set_global_opts(legend_opts=opts.LegendOpts(is_show=False))\n",
    "        )\n",
    "    bar_diyu_pie.overlap(pie)\n",
    "    t2.add(bar_diyu_pie,'{}'.format(d))\n",
    "t2.render_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 大屏展示"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:\\\\myproject\\\\cx_xiangmu\\\\Python数据分析\\\\上架\\\\2301-Python数据分析与可视化项目\\\\文化娱乐-春节档票房分析（Pyecharts大屏可视化）\\\\test.html'"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pyecharts.charts import Page\n",
    "page = Page(layout=Page.DraggablePageLayout, page_title=\"大屏展示\")\n",
    "\n",
    "page.add(\n",
    "   line,bar,bar_china,bar_diyu,t2)\n",
    "# 先保存到test.html 然后打开，拖拽图片自定义布局， 之后记得点击左上角“save config”对布局文件进行保存。\n",
    "# 会生成一个chart_config.json的文件，这其中包含了每个图表ID对应的布局位置\n",
    "page.render('test.html')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'<!DOCTYPE html>\\n<html>\\n<head>\\n    <meta charset=\"UTF-8\">\\n    <title>大屏展示</title>\\n            <script type=\"text/javascript\" src=\"https://assets.pyecharts.org/assets/v5/echarts.min.js\"></script>\\n        <script type=\"text/javascript\" src=\"https://assets.pyecharts.org/assets/v5/jquery.min.js\"></script>\\n        <script type=\"text/javascript\" src=\"https://assets.pyecharts.org/assets/v5/jquery-ui.min.js\"></script>\\n        <script type=\"text/javascript\" src=\"https://assets.pyecharts.org/assets/v5/ResizeSensor.js\"></script>\\n\\n            <link rel=\"stylesheet\"  href=\"https://assets.pyecharts.org/assets/v5/jquery-ui.css\">\\n\\n</head>\\n<body >\\n    <style>.box {  } </style>\\n        \\n    <div class=\"box\">\\n                <div id=\"77044a02c6074383a62ce927c7fe70ca\" class=\"chart-container\" style=\"position: absolute; width: 1000.5px; height: 603.5px; top: 27.24609375px; left: 1242.98828125px;\"></div>\\n    <script>\\n        var chart_77044a02c6074383a62ce927c7fe70ca = echarts.init(\\n            document.getElementById(\\'77044a02c6074383a62ce927c7fe70ca\\'), \\'light\\', {renderer: \\'canvas\\'});\\n        var option_77044a02c6074383a62ce927c7fe70ca = {\\n    \"animation\": true,\\n    \"animationThreshold\": 2000,\\n    \"animationDuration\": 1000,\\n    \"animationEasing\": \"cubicOut\",\\n    \"animationDelay\": 0,\\n    \"animationDurationUpdate\": 300,\\n    \"animationEasingUpdate\": \"cubicOut\",\\n    \"animationDelayUpdate\": 0,\\n    \"aria\": {\\n        \"enabled\": false\\n    },\\n    \"series\": [\\n        {\\n            \"type\": \"line\",\\n            \"name\": \"\\\\u5f53\\\\u524d\\\\u7968\\\\u623f/\\\\u5343\\\\u4e07\",\\n            \"connectNulls\": false,\\n            \"xAxisIndex\": 0,\\n            \"symbolSize\": 4,\\n            \"showSymbol\": false,\\n            \"smooth\": true,\\n            \"clip\": true,\\n            \"step\": false,\\n            \"data\": [\\n                [\\n                    \"2022-02-01\",\\n                    63.85\\n                ],\\n                [\\n                    \"2022-02-02\",\\n                    47.16\\n                ],\\n                [\\n                    \"2022-02-03\",\\n                    43.92\\n                ],\\n                [\\n                    \"2022-02-04\",\\n                    35.85\\n                ],\\n                [\\n                    \"2022-02-05\",\\n                    33.39\\n                ],\\n                [\\n                    \"2022-02-06\",\\n                    28.84\\n                ],\\n                [\\n                    \"2022-02-07\",\\n                    19.07\\n                ]\\n            ],\\n            \"hoverAnimation\": true,\\n            \"label\": {\\n                \"show\": false,\\n                \"margin\": 8\\n            },\\n            \"logBase\": 10,\\n            \"lineStyle\": {\\n                \"normal\": {\\n                    \"shadowColor\": \"rgba(0, 0, 0, .5)\",\\n                    \"shadowBlur\": 0,\\n                    \"shadowOffsetY\": 1,\\n                    \"shadowOffsetX\": 1\\n                }\\n            },\\n            \"areaStyle\": {\\n                \"opacity\": 0.5\\n            },\\n            \"zlevel\": 0,\\n            \"z\": 100,\\n            \"markArea\": {\\n                \"silent\": true,\\n                \"label\": {\\n                    \"show\": true,\\n                    \"position\": \"bottom\",\\n                    \"color\": \"#000000\",\\n                    \"margin\": 8\\n                },\\n                \"data\": [\\n                    [\\n                        {\\n                            \"name\": \"\\\\u6b63\\\\u5f0f\\\\u4e0a\\\\u6620\\\\n\\\\u6625\\\\u8282\\\\u6863\",\\n                            \"xAxis\": \"2022-02-01\"\\n                        },\\n                        {\\n                            \"xAxis\": \"2022-02-02\"\\n                        }\\n                    ]\\n                ],\\n                \"itemStyle\": {\\n                    \"color\": \"#1E90FF\",\\n                    \"opacity\": 0.2\\n                }\\n            },\\n            \"rippleEffect\": {\\n                \"show\": true,\\n                \"brushType\": \"stroke\",\\n                \"scale\": 2.5,\\n                \"period\": 4\\n            }\\n        },\\n        {\\n            \"type\": \"line\",\\n            \"name\": \"\\\\u5f53\\\\u524d\\\\u4eba\\\\u6b21/\\\\u767e\\\\u4e07\",\\n            \"connectNulls\": false,\\n            \"xAxisIndex\": 0,\\n            \"symbolSize\": 4,\\n            \"showSymbol\": false,\\n            \"smooth\": true,\\n            \"clip\": true,\\n            \"step\": false,\\n            \"data\": [\\n                [\\n                    \"2022-02-01\",\\n                    11.14\\n                ],\\n                [\\n                    \"2022-02-02\",\\n                    8.52\\n                ],\\n                [\\n                    \"2022-02-03\",\\n                    8.14\\n                ],\\n                [\\n                    \"2022-02-04\",\\n                    6.9\\n                ],\\n                [\\n                    \"2022-02-05\",\\n                    6.59\\n                ],\\n                [\\n                    \"2022-02-06\",\\n                    5.8\\n                ],\\n                [\\n                    \"2022-02-07\",\\n                    3.99\\n                ]\\n            ],\\n            \"hoverAnimation\": true,\\n            \"label\": {\\n                \"show\": false,\\n                \"margin\": 8\\n            },\\n            \"logBase\": 10,\\n            \"lineStyle\": {\\n                \"normal\": {\\n                    \"shadowColor\": \"rgba(0, 0, 0, .5)\",\\n                    \"shadowBlur\": 0,\\n                    \"shadowOffsetY\": 1,\\n                    \"shadowOffsetX\": 1\\n                }\\n            },\\n            \"areaStyle\": {\\n                \"opacity\": 0.5\\n            },\\n            \"zlevel\": 0,\\n            \"z\": 100,\\n            \"markArea\": {\\n                \"silent\": true,\\n                \"label\": {\\n                    \"show\": true,\\n                    \"position\": \"bottom\",\\n                    \"color\": \"#000000\",\\n                    \"margin\": 8\\n                },\\n                \"data\": [\\n                    [\\n                        {\\n                            \"name\": \"\\\\u6b63\\\\u5f0f\\\\u4e0a\\\\u6620\\\\n\\\\u6625\\\\u8282\\\\u6863\",\\n                            \"xAxis\": \"2022-02-01\"\\n                        },\\n                        {\\n                            \"xAxis\": \"2022-02-02\"\\n                        }\\n                    ]\\n                ],\\n                \"itemStyle\": {\\n                    \"color\": \"#1E90FF\",\\n                    \"opacity\": 0.2\\n                }\\n            },\\n            \"rippleEffect\": {\\n                \"show\": true,\\n                \"brushType\": \"stroke\",\\n                \"scale\": 2.5,\\n                \"period\": 4\\n            }\\n        },\\n        {\\n            \"type\": \"line\",\\n            \"name\": \"\\\\u5f53\\\\u524d\\\\u573a\\\\u6b21/\\\\u4e07\",\\n            \"connectNulls\": false,\\n            \"xAxisIndex\": 0,\\n            \"symbolSize\": 4,\\n            \"showSymbol\": false,\\n            \"smooth\": true,\\n            \"clip\": true,\\n            \"step\": false,\\n            \"data\": [\\n                [\\n                    \"2022-02-01\",\\n                    14.94\\n                ],\\n                [\\n                    \"2022-02-02\",\\n                    16.31\\n                ],\\n                [\\n                    \"2022-02-03\",\\n                    15.96\\n                ],\\n                [\\n                    \"2022-02-04\",\\n                    15.23\\n                ],\\n                [\\n                    \"2022-02-05\",\\n                    14.78\\n                ],\\n                [\\n                    \"2022-02-06\",\\n                    13.88\\n                ],\\n                [\\n                    \"2022-02-07\",\\n                    12.73\\n                ]\\n            ],\\n            \"hoverAnimation\": true,\\n            \"label\": {\\n                \"show\": false,\\n                \"margin\": 8\\n            },\\n            \"logBase\": 10,\\n            \"lineStyle\": {\\n                \"normal\": {\\n                    \"shadowColor\": \"rgba(0, 0, 0, .5)\",\\n                    \"shadowBlur\": 0,\\n                    \"shadowOffsetY\": 1,\\n                    \"shadowOffsetX\": 1\\n                }\\n            },\\n            \"areaStyle\": {\\n                \"opacity\": 0.5\\n            },\\n            \"zlevel\": 0,\\n            \"z\": 100,\\n            \"markArea\": {\\n                \"silent\": true,\\n                \"label\": {\\n                    \"show\": true,\\n                    \"position\": \"bottom\",\\n                    \"color\": \"#000000\",\\n                    \"margin\": 8\\n                },\\n                \"data\": [\\n                    [\\n                        {\\n                            \"name\": \"\\\\u6b63\\\\u5f0f\\\\u4e0a\\\\u6620\\\\n\\\\u6625\\\\u8282\\\\u6863\",\\n                            \"xAxis\": \"2022-02-01\"\\n                        },\\n                        {\\n                            \"xAxis\": \"2022-02-02\"\\n                        }\\n                    ]\\n                ],\\n                \"itemStyle\": {\\n                    \"color\": \"#1E90FF\",\\n                    \"opacity\": 0.2\\n                }\\n            },\\n            \"rippleEffect\": {\\n                \"show\": true,\\n                \"brushType\": \"stroke\",\\n                \"scale\": 2.5,\\n                \"period\": 4\\n            }\\n        }\\n    ],\\n    \"legend\": [\\n        {\\n            \"data\": [\\n                \"\\\\u5f53\\\\u524d\\\\u7968\\\\u623f/\\\\u5343\\\\u4e07\",\\n                \"\\\\u5f53\\\\u524d\\\\u4eba\\\\u6b21/\\\\u767e\\\\u4e07\",\\n                \"\\\\u5f53\\\\u524d\\\\u573a\\\\u6b21/\\\\u4e07\"\\n            ],\\n            \"selected\": {\\n                \"\\\\u5f53\\\\u524d\\\\u7968\\\\u623f/\\\\u5343\\\\u4e07\": true,\\n                \"\\\\u5f53\\\\u524d\\\\u4eba\\\\u6b21/\\\\u767e\\\\u4e07\": true,\\n                \"\\\\u5f53\\\\u524d\\\\u573a\\\\u6b21/\\\\u4e07\": true\\n            },\\n            \"show\": true,\\n            \"top\": 45,\\n            \"orient\": \"horizontal\",\\n            \"padding\": 5,\\n            \"itemGap\": 10,\\n            \"itemWidth\": 25,\\n            \"itemHeight\": 14,\\n            \"backgroundColor\": \"transparent\",\\n            \"borderColor\": \"#ccc\",\\n            \"borderWidth\": 1,\\n            \"borderRadius\": 0,\\n            \"pageButtonItemGap\": 5,\\n            \"pageButtonPosition\": \"end\",\\n            \"pageFormatter\": \"{current}/{total}\",\\n            \"pageIconColor\": \"#2f4554\",\\n            \"pageIconInactiveColor\": \"#aaa\",\\n            \"pageIconSize\": 15,\\n            \"animationDurationUpdate\": 800,\\n            \"selector\": false,\\n            \"selectorPosition\": \"auto\",\\n            \"selectorItemGap\": 7,\\n            \"selectorButtonGap\": 10\\n        }\\n    ],\\n    \"tooltip\": {\\n        \"show\": true,\\n        \"trigger\": \"axis\",\\n        \"triggerOn\": \"mousemove|click\",\\n        \"axisPointer\": {\\n            \"type\": \"cross\"\\n        },\\n        \"showContent\": true,\\n        \"alwaysShowContent\": false,\\n        \"showDelay\": 0,\\n        \"hideDelay\": 100,\\n        \"enterable\": false,\\n        \"confine\": false,\\n        \"appendToBody\": false,\\n        \"transitionDuration\": 0.4,\\n        \"textStyle\": {\\n            \"fontSize\": 14\\n        },\\n        \"borderWidth\": 0,\\n        \"padding\": 5,\\n        \"order\": \"seriesAsc\"\\n    },\\n    \"xAxis\": [\\n        {\\n            \"show\": true,\\n            \"scale\": false,\\n            \"nameLocation\": \"end\",\\n            \"nameGap\": 15,\\n            \"gridIndex\": 0,\\n            \"axisTick\": {\\n                \"show\": false,\\n                \"alignWithLabel\": false,\\n                \"inside\": false\\n            },\\n            \"axisLabel\": {\\n                \"show\": true,\\n                \"color\": \"black\",\\n                \"margin\": 30\\n            },\\n            \"inverse\": false,\\n            \"offset\": 0,\\n            \"splitNumber\": 5,\\n            \"boundaryGap\": false,\\n            \"minInterval\": 0,\\n            \"splitLine\": {\\n                \"show\": true,\\n                \"lineStyle\": {\\n                    \"show\": true,\\n                    \"width\": 1,\\n                    \"opacity\": 1,\\n                    \"curveness\": 0,\\n                    \"type\": \"solid\"\\n                }\\n            },\\n            \"data\": [\\n                \"2022-02-01\",\\n                \"2022-02-02\",\\n                \"2022-02-03\",\\n                \"2022-02-04\",\\n                \"2022-02-05\",\\n                \"2022-02-06\",\\n                \"2022-02-07\"\\n            ]\\n        }\\n    ],\\n    \"yAxis\": [\\n        {\\n            \"show\": true,\\n            \"scale\": false,\\n            \"nameLocation\": \"end\",\\n            \"nameGap\": 15,\\n            \"gridIndex\": 0,\\n            \"axisLine\": {\\n                \"show\": true,\\n                \"onZero\": true,\\n                \"onZeroAxisIndex\": 0\\n            },\\n            \"axisTick\": {\\n                \"show\": false,\\n                \"alignWithLabel\": false,\\n                \"inside\": false\\n            },\\n            \"inverse\": false,\\n            \"offset\": 0,\\n            \"splitNumber\": 5,\\n            \"minInterval\": 0,\\n            \"splitLine\": {\\n                \"show\": true,\\n                \"lineStyle\": {\\n                    \"show\": true,\\n                    \"width\": 1,\\n                    \"opacity\": 1,\\n                    \"curveness\": 0,\\n                    \"type\": \"solid\",\\n                    \"color\": \"#483D8B\"\\n                }\\n            }\\n        }\\n    ],\\n    \"title\": [\\n        {\\n            \"show\": true,\\n            \"text\": \"\\\\u957f\\\\u6d25\\\\u6e56\\\\u4e0a\\\\u6620\\\\u540e\\\\u4e00\\\\u5468\\\\u7535\\\\u5f71\\\\u7968\\\\u623f\\\\u8868\\\\u73b0\",\\n            \"target\": \"blank\",\\n            \"subtext\": \"2022-02-01~2022-02-07\",\\n            \"subtarget\": \"blank\",\\n            \"left\": \"center\",\\n            \"padding\": 5,\\n            \"itemGap\": 10,\\n            \"textAlign\": \"auto\",\\n            \"textVerticalAlign\": \"auto\",\\n            \"triggerEvent\": false,\\n            \"textStyle\": {\\n                \"fontSize\": 18\\n            }\\n        }\\n    ],\\n    \"graphic\": [\\n        {\\n            \"type\": \"group\",\\n            \"diffChildrenByName\": false,\\n            \"children\": [\\n                {\\n                    \"type\": \"image\",\\n                    \"id\": \"logo\",\\n                    \"$action\": \"merge\",\\n                    \"rotation\": 0,\\n                    \"left\": \"center\",\\n                    \"bounding\": \"all\",\\n                    \"z\": -1,\\n                    \"zlevel\": 0,\\n                    \"silent\": false,\\n                    \"invisible\": false,\\n                    \"ignore\": false,\\n                    \"cursor\": \"pointer\",\\n                    \"draggable\": false,\\n                    \"progressive\": false,\\n                    \"width\": 0,\\n                    \"height\": 0,\\n                    \"style\": {\\n                        \"x\": 0,\\n                        \"y\": 0,\\n                        \"width\": 1000,\\n                        \"height\": 600,\\n                        \"opacity\": 0.5\\n                    }\\n                }\\n            ],\\n            \"id\": \"1\",\\n            \"$action\": \"merge\",\\n            \"rotation\": 0,\\n            \"left\": \"center\",\\n            \"top\": \"center\",\\n            \"bounding\": \"all\",\\n            \"z\": -1,\\n            \"zlevel\": 0,\\n            \"silent\": false,\\n            \"invisible\": false,\\n            \"ignore\": false,\\n            \"cursor\": \"pointer\",\\n            \"draggable\": false,\\n            \"progressive\": false,\\n            \"width\": 0,\\n            \"height\": 0\\n        }\\n    ],\\n    \"color\": [\\n        \"#80FFA5\",\\n        \"#00DDFF\",\\n        \"#FF0087\"\\n    ]\\n};\\n        chart_77044a02c6074383a62ce927c7fe70ca.setOption(option_77044a02c6074383a62ce927c7fe70ca);\\n    </script>\\n<br/>                <div id=\"88aa8bc3afcd4f89871c528ef879acc6\" class=\"chart-container\" style=\"position: absolute; width: 1168.5px; height: 603.5px; top: 33.49609375px; left: 62.98828125px;\"></div>\\n    <script>\\n        var chart_88aa8bc3afcd4f89871c528ef879acc6 = echarts.init(\\n            document.getElementById(\\'88aa8bc3afcd4f89871c528ef879acc6\\'), \\'light\\', {renderer: \\'canvas\\'});\\n        var option_88aa8bc3afcd4f89871c528ef879acc6 = {\\n    \"animation\": true,\\n    \"animationThreshold\": 2000,\\n    \"animationDuration\": 1000,\\n    \"animationEasing\": \"cubicOut\",\\n    \"animationDelay\": 0,\\n    \"animationDurationUpdate\": 300,\\n    \"animationEasingUpdate\": \"cubicOut\",\\n    \"animationDelayUpdate\": 0,\\n    \"aria\": {\\n        \"enabled\": false\\n    },\\n    \"series\": [\\n        {\\n            \"type\": \"bar\",\\n            \"name\": \"\\\\u573a\\\\u6b21\",\\n            \"legendHoverLink\": true,\\n            \"data\": [\\n                426462,\\n                457564,\\n                479079,\\n                487703,\\n                505980,\\n                522390,\\n                560897\\n            ],\\n            \"realtimeSort\": false,\\n            \"showBackground\": false,\\n            \"stackStrategy\": \"samesign\",\\n            \"cursor\": \"pointer\",\\n            \"barMinHeight\": 0,\\n            \"barCategoryGap\": \"20%\",\\n            \"barGap\": \"30%\",\\n            \"large\": false,\\n            \"largeThreshold\": 400,\\n            \"seriesLayoutBy\": \"column\",\\n            \"datasetIndex\": 0,\\n            \"clip\": true,\\n            \"zlevel\": 0,\\n            \"z\": 2,\\n            \"label\": {\\n                \"show\": false,\\n                \"position\": \"top\",\\n                \"margin\": 8,\\n                \"formatter\": \"{c}\"\\n            },\\n            \"itemStyle\": {\\n                \"opacity\": 0.8,\\n                \"color\":                             new echarts.graphic.LinearGradient(                            0, 0, 0, 1,                            [{offset: 0, color: \\'rgba(30,144,255)\\'},                             {offset: 1, color: \\'rgba(30,144,255,0.5)\\'}],                              false)                            \\n            }\\n        },\\n        {\\n            \"type\": \"bar\",\\n            \"name\": \"\\\\u4eba\\\\u6b21\",\\n            \"legendHoverLink\": true,\\n            \"data\": [\\n                10938703,\\n                15514640,\\n                17146416,\\n                17390306,\\n                19214740,\\n                19527566,\\n                25890107\\n            ],\\n            \"realtimeSort\": false,\\n            \"showBackground\": false,\\n            \"stackStrategy\": \"samesign\",\\n            \"cursor\": \"pointer\",\\n            \"barMinHeight\": 0,\\n            \"barCategoryGap\": \"20%\",\\n            \"barGap\": \"30%\",\\n            \"large\": false,\\n            \"largeThreshold\": 400,\\n            \"seriesLayoutBy\": \"column\",\\n            \"datasetIndex\": 0,\\n            \"clip\": true,\\n            \"zlevel\": 0,\\n            \"z\": 2,\\n            \"label\": {\\n                \"show\": false,\\n                \"position\": \"top\",\\n                \"margin\": 8,\\n                \"formatter\": \"{c}\"\\n            },\\n            \"itemStyle\": {\\n                \"opacity\": 0.8,\\n                \"color\":                              new echarts.graphic.LinearGradient(                                           0, 0, 0, 1,                                           [{offset: 0, color: \\'#ed556a\\'},                                            {offset: 1, color: \\'#ee3f4d\\'}],                                           false)                           \\n            }\\n        },\\n        {\\n            \"type\": \"line\",\\n            \"name\": \"\\\\u7968\\\\u623f/(\\\\u4e07)\",\\n            \"connectNulls\": false,\\n            \"xAxisIndex\": 0,\\n            \"yAxisIndex\": 1,\\n            \"symbolSize\": 4,\\n            \"showSymbol\": true,\\n            \"smooth\": true,\\n            \"clip\": true,\\n            \"step\": false,\\n            \"data\": [\\n                [\\n                    \"2022-02-07\",\\n                    52166.25\\n                ],\\n                [\\n                    \"2022-02-06\",\\n                    76745.49\\n                ],\\n                [\\n                    \"2022-02-05\",\\n                    86139.18\\n                ],\\n                [\\n                    \"2022-02-04\",\\n                    89063.6\\n                ],\\n                [\\n                    \"2022-02-03\",\\n                    101928.04\\n                ],\\n                [\\n                    \"2022-02-02\",\\n                    106280.24\\n                ],\\n                [\\n                    \"2022-02-01\",\\n                    144872.09\\n                ]\\n            ],\\n            \"hoverAnimation\": true,\\n            \"label\": {\\n                \"show\": false,\\n                \"margin\": 8\\n            },\\n            \"logBase\": 10,\\n            \"lineStyle\": {\\n                \"normal\": {\\n                    \"width\": 4,\\n                    \"shadowColor\": \"rgba(0, 0, 0, 0.5)\",\\n                    \"shadowBlur\": 5,\\n                    \"shadowOffsetY\": 10,\\n                    \"shadowOffsetX\": 10,\\n                    \"curve\": 0.7,\\n                    \"color\": \"#2486b9\"\\n                }\\n            },\\n            \"areaStyle\": {\\n           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